Intro to Machine Learning (Part 2)
#Beginner #Data #Machine Learning
Date/Time:
October 21, 2023 (Saturday), 11:00 AM to 12:30 PM SGT
Get hands on knowledge of how to do basic exploratory data analysis (EDA) on a dataset:
– Learn about supervised learning approaches of regression and classification
– Gain understanding of unsupervised learning approach of clustering analysis
– Learn and apply CRISPDM, the industry standard for building machine learning models
– Get exposure to notebooks through Kaggle notebooks – an interactive development tool used for analysis and model development
Pre-requisites :
1. Preliminary understanding of basic machine learning concepts covered in part 1 is a plus.
2. Those who have familiarity with python will find it easier to follow along the hands on section
3. Kaggle account (https://www.kaggle.com/), and Kaggle notebooks will be used for the hands on session. For more information on Kaggle check this link.
Target Audience:
This course is for those who want to form a hands on understanding of key concepts in machine leaning and take their first steps in building a machine learning model following an industry standard approach.
Speaker
Aishwarya Ramakrishnan, Vice President, Banking and Financial Services Industry
Aish has 14+ years of experience leading digital and data transformation and automation initiatives in the financial services industry.
She is a machine learning and AI enthusiast, a proud member of She Loves Data for more than 3 years, a dog lover, and also auctions her original artwork for charity.
Madhura Ganguly, Senior Advisor Data Science, Dell Technologies
Madhura has 11 years of experience working as a data science professional across different industry domains like marketing, retail and supply chain.
She has a passion for teaching and has been part of various technical training programs throughout her career. Madhura enjoys cooking and loves to travel.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. This webinar is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Career Series: Data Engineering
#Data # Beginner #Hiring
Date/Time:
Oct 10, 2023 (Tuesday), 06:30 PM London | 7:30 PM Prague
#Data #Beginner #Hiring
Bringing Data together is a crucial step towards understanding how it can help us tell a story…
Data Engineers play a huge role in designing and building the systems which allow us to present data in a format that can be digested by Data Analysts and Scientists. We dread to think of what the Data Lifecycle would look like without them!!
This month, the She Loves Data U.K and Ireland Chapter bring you our second event in the Career Series, which shines a spotlight on the profession of Data Engineering.
Join us ONLINE, to meet our inspiring panellists who will give us insights into how they got involved with this fascinating industry, as well as the series of events which led them to pursuing a professional role. The panel will discuss the challenges and successes in the field of Data Engineering, how it is being used within the industry and what the future of Data Engineering looks like post-2023 across the globe!
Learn more about how you can gain the skills to ‘break-into’ Data Engineering and what recruiters are looking for. Save your questions and come along to ask our panel in-person!
This event is an excellent opportunity for those who have an interest in:
– Data Engineering
– A career in data/tech industry
– Meeting like-minded people
– Expanding your network
We look forward to welcoming you!
Speakers
Aron Gyenge
Data Scientist·Qbiz
Aron Gyenge is a consultant/ data engineer/ data scientist at Qbiz UK, currently working on projects involving large language models and vector databases. Coming from a background in philosophy and digital humanities, Aron is not only interested in the technical aspects of data solutions but their effects on social, political and cultural issues. He enjoys the creative aspect of streamlining and structuring applications. He also blogs his experiences on Medium. Aron holds a BA in Philosophy and an MA in Big Data in Culture & Society – both awarded by King’s College London. In his free time, he works on personal projects or enjoys karaoke.
Lead Azure Consultant·Agile Solutions
My name is Alpa Buddhabhatti, and I serve as a Lead Azure Data Engineer. I hold certifications as an Azure Trainer, Azure Data Engineer, Azure Developer, and Azure Data Scientist. My expertise spans a wide range of Azure technologies, including Azure Data Factory, Azure Synapse Analytics, Azure Logic Apps, Azure Functions, Azure DevOps, Azure Networking, and security services. My passion lies in continuous learning and the joy of sharing knowledge with others
Director of Engineering·
Flagstone
Nicole is an Engineering director with over 20 years technical experience in several different fields. Currently supporting software engineering for Flagstone, she has also been the Centre of Excellence lead for Data at Nationwide Building society and Service Management Lead for the National Trust. She has a varied technical background from data and databases, CRM, development, operations and sysadmin which allows her to take a holistic view of issues and be proactive in helping teams resolve them.
Cristiani Santos da Silva
Solution Architect & Database Migration Specialist·Amazon Web Services (AWS)
Cristiani Santos da Silva is a Solution Architect and Database Migration Specialist at Amazon Web Services (AWS). Having joined AWS in 2021, she brings a rich history as a consultant in database migration. Cristiani thrives in dynamic environments, drawing immense satisfaction from working with diverse clients and navigating varied challenges — each presenting a unique learning opportunity. With a foundational background in Computer Science, Cristiani earned her Bachelor’s degree in 2009. By 2017, she further specialized in database projects, solidifying her position as an expert in the field. Outside of her professional endeavors, Cristiani is an avid plant enthusiast, cherishing moments she spends with her husband, family, and friends. When the skies are clear, she relishes cycling, embracing nature’s beauty.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of UK. Can I still join?
A.Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online webinar is open, to everyone irrespective of gender.
Q. Is it an interactive discussion or just a ‘listen in ‘ webinar?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and live Q&A portions at the end of the discussion.
Q. What if something comes up & I need to retract my registration?
A. If you can’t join the online meetup, let us know at least a day before and we’ll be able to offer your spot to someone else on the waitlist. Please email us at [email protected] and we’ll help.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Intro to Machine Learning (Part 1)
#Beginner #Data #Machine Learning
Date/Time:
October 7, 2023 (Saturday), 3:00 PM to 4:30 PM SGT
This course will set the foundations for those interested to pursue hands-on machine learning. There are no pre-requisites to this course.
– Understand how ML works and how it became such a ground breaking technology
– Know about buzzwords in ML, different types of ML and how they are leveraged
– Gain exposure to the different job families that work with ML
– Learn about how ML is applied on data to accomplish tasks
– Demystify myths about Machine Learning
– How to avoid a Machine Learning Disaster!
– Know about the tools of ML
– Prepare for your next step in learning machine learning
Target Audience:
This is for people who want to gain introductory knowledge of ML without getting overwhelmed by buzzwords. This is free and open for all.
Speaker
Aishwarya Ramakrishnan, Vice President, Banking and Financial Services Industry
Aish has 14+ years of experience leading digital and data transformation and automation initiatives in the financial services industry.
She is a machine learning and AI enthusiast, a proud member of She Loves Data for more than 3 years, a dog lover, and also auctions her original artwork for charity.
Madhura Ganguly, Senior Advisor Data Science, Dell Technologies
Madhura has 11 years of experience working as a data science professional across different industry domains like marketing, retail and supply chain.
She has a passion for teaching and has been part of various technical training programs throughout her career. Madhura enjoys cooking and loves to travel.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. This webinar is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Data Analyst Foundation Program – Session IV – Cloud Computing
#Data #Beginner #Cloud Computing
Agenda:
The Data Analyst Foundations Program encompasses the fundamental skill set required for Data and Analytics, comprising SQL queries, Python Programming, Data Visualization, and basic comprehension of cloud computing. This comprehensive program is divided into four sessions, namely
➢ Intro to SQL
➢ Intro to Python
➢ Data Visualization
➢ Intro to Cloud Computing
Upon completing these four sessions, you will be well-equipped for an entry-level job in the field. Our expert instructors will guide you through the hands-on programs, enabling you to network and connect with like-minded individuals. Upon finishing all four courses and completing the assessment tests, you will receive a certificate and a digital badge that you can share with potential employers and your professional network.
Session IV – Introduction to Cloud Computing will guide you on the basic understanding of cloud concepts and the difference between IaaS, PaaS and Saas. It will also help you understand how storage and computing can be differentiated in a cloud environment.
We will also talk in brief about different cloud providers available in the market. This course is for anybody who is curious to know what cloud computing is all about and does not need any prior knowledge.
Date/Time:
June 10, 2023 (Saturday), 02:00 PM to 03:30 PM India Time
Speakers:
Pooja Gopal
Technical Lead @Infosys
With almost 12 years of experience in the field of IT, Pooja has been serving as a Technical Lead at Infosys. In addition to her extensive industry knowledge, she is certified as an AWS Certified Solutions Architect – Associate and an Oracle Cloud Infrastructure Foundations 2020 Certified Associate.
Furthermore, she has authored a Technical Publication titled “How to create AWS VPC Peering – Step by Step Tutorial” under the umbrella of Devops Junction. She is currently working on another publication called “ECS – Building AWS Containerized Applications under custom VPC on both EC2 and Fargate (serverless) launch types. As for her hobbies, she thoroughly enjoys traveling and discovering new destinations. She finds great pleasure in engaging with her creative side through activities such as crochet, crafts, and painting.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based out of APAC. Can I still join?
A. Absolutely! This is an APAC-wide online event. You can join from any part of the world.
Q. Is it only for women?
A. This online webinar is open to all professional men and women. #HeLovesData too!
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
Data Dialogues with Maurice Audinet
#Beginner #Data
Join us on Jun 8 (Thursday) for the brand new Data Dialogues series from the Hong Kong chapter!
In this in-person event, Mr. Audinet will be discussing the challenges faced by Jurlique, as well as the significance of design and business architecture, and the importance of data governance and ownership.
Date/Time:
June 8, 2023 (Thursday), 07:00 PM to 08:30 PM HKT
Speaker:
Maruice Audinet
Global Head of IT and Digital Transformation @ Jurlique
As a technology leader passionate about user experience, I have been enabling and guiding digital transformation initiatives since 2012. Devoted to building seamless digital journeys, I have worked across the luxury, banking, digital, retail, and travel retail industries for the past 20 years.
A true jack of all trades, my digital experience extends across online streaming, CMS, E-commerce, UX design, online payments, and WeChat ecosystem development. Expanding from this diverse background, I am still eager to discover novel ways to deliver positive digital experiences to users across the globe.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. Is it only for women?
A. This in-person webinar is open to all professional men and women. #HeLovesData too!
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
Data Analyst Foundation Program – Session III – Data Visualization
#Data #Beginner #Visualization
Agenda:
The Data Analyst Foundations Program encompasses the fundamental skill set required for Data and Analytics, comprising of SQL queries, Python Programming, Data Visualization, and a basic comprehension of cloud computing.
This comprehensive program is divided into four modules, namely
• Introduction to SQL
• Introduction to Python
• Data Visualization
• Introduction to Cloud Computing
Our industry experts will guide you through the program, allowing you to network and connect with like-minded individuals virtually. Upon finishing all four modules and completing the assessment tests successfully, you will receive a certificate and a Digital badge that you can share with potential employers and your professional network on LinkedIn.
Session III – Introduction to Data Viz offers an introduction to Data visualization, it will help you understand different ways to visualize the data, and different forms of charts such as pie, bar, and line graphs. It will also have hands-on on one of the top tools for reporting i.e. Tableau.
You will also learn how the right data, message, and chart with the right context can help you build your data story and highlight data in a way that can drive insights for business.
Target Audience:
– Beginners in Data and Analytics
– Anyone who wants to upskill in Data
Objective:
– Build skills required for a career in Data and Analytics
– Fundamental understanding of Data Visulization
Date/Time:
June 3rd, 2023 (Saturday), 02:00 PM to 04:00 PM India Time
Speakers:
Product Manager @Delivery Hero
Aashima currently works as a Product Manager at Delivery Hero, Berlin for data based products. Previously, she has worked as an analyst in HackerRank, Goldman Sachs and Thorogood Associates. She has extensive experience in SQL and Tableau.
She loves reading books from various genres and domains. She is also a certified yoga trainer.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based out of APAC. Can I still join?
A. Absolutely! This is an APAC-wide online event. You can join from any part of the world.
Q. Is it only for women?
A. This online webinar is open to all professional men and women. #HeLovesData too!
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
Data Analyst Foundation Program – Session II – Intro to Python
Agenda:
The Data Analyst foundations program covers the basic skill set needed for Data and Analytics, such as SQL queries, Python Programming, Data Visualization and a basic understanding of what is cloud computing.
This program contains four modules.
➢ Intro to SQL
➢ Intro to Python
➢ Data Visualization
➢ Intro to Cloud Computing
These four sessions will prepare you for an entry-level job. You will learn from industry experts and get an opportunity to interact and network with like-minded people.
When you finish all the four courses and complete the assessment test for all the sessions, you’ll earn a Certificate and a credly badge that you can share with prospective employers and your professional network.
Session II – Intro to Python
This session provides an introduction to programming and the Python language. You’ll learn the fundamentals of the Python programming language, along with programming best practices. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets and dictionaries.
Target Audience:
– Beginners in Data and Analytics
– Anyone who wants to upskill in Data
Objective:
– Build skills required for a career in Data and Analytics
– Fundamental understanding of Python
Date/Time:
April 29, 2023 (Saturday), 02:00 PM to 04:30 PM India Time
Speakers:
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based out of APAC. Can I still join?
A. Absolutely! This is an APAC-wide online event. You can join from any part of the world.
Q. Is it only for women?
A. This online webinar is open to all professional men and women. #HeLovesData too!
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
Choose Your Data Adventure
#Data #Beginner #Hiring
Date/Time:
July 21, 2022 (Thursday), 6:00 PM to 7:30 PM AEST
The She Loves Data event in collaboration with Thoughtworks aims to inspire and provide guidance for all women and underrepresented gender minorities looking to embark on a new career or grow their career path in data.
This Event is an interactive event and you will be able to connect with Thoughtworks professionals, ask questions, get career advice and find out more about daily work at Thoughtworks.
Agenda
6:00 – Welcome and Introduction
6:25 – Panel discussion
6:45 – 3 breakout sessions
Session 1 – Kickstart your career in data
Leaders: Tess Guthrie and Sue Visic
The advent of new technologies is opening up exciting opportunities for data-based roles, and it’s fast becoming one of the most in-demand jobs today. So is a career in data right for you? Our data experts will unpack their best career advice and wisdom to help you grow your career in data, including what to consider when making a career choice, the must-have soft and technical skills, tips for a successful interview, the role of data in social impact work, and lots more.
Session 2 – Make the switch to a career in data
Leaders: Ada Leung & Dave Colls
Are you seeking a career change or looking to return to work? Then this session is for you. Our Thoughtworks speakers will share their personal experiences and tips on how to successfully embark on a new career in data and share their advice on ways to transition back to work after a career break or parental leave. They’ll also tackle some tricky questions along the way (is age really an impediment to moving into tech?).
Session 3 – Life as a Thoughtworks data consultant
Leaders: Harmeet Sokhi & Karen Davis
Ever wondered what it’s like to work at Thoughtworks? Step inside the shoes of a Thoughtworks data consultant as we take you through the day in the life of our speakers. Learn about the types of problems Thoughtworks consultants solve with clients as they work on their toughest challenges, the day-to-day responsibilities of a data consultant, and all the ups and downs of consulting life.
Speakers
Director, Data & AI Practice, Thoughtworks Australia
Sue joined Thoughtworks in Australia as a Principal Consultant in 2013. Since then, she has helped many of our clients develop and deliver large scale technology transformation programs. She has enjoyed building high performing teams and partnering with clients on complex problems.
Sue is passionate about the use of data to solve business challenges. In 2020, Sue was appointed Director of our Data and AI Practice, ensuring we deliver high quality data and AI solutions for our clients.
Founder & CEO, Whyhive
Tess has a background in pure mathematics and philosophy and is the CEO & Founder of WhyHive. As the winner of the 2021 B&T Leading Tech Award in the Data Science Category and the 2022 7NEWS Young Achiver of the Year Award for Victoria, they specialise in strategising how organisations can innovate by capturing, analysing and utilising data. With their experience in research, startup frameworks, advocacy and social enterprise, Tess also brings their knowledge and passion for intersectional gender equality to all their work.
Product Delivery, Senior Consultant Thoughtworks
Ada has technology delivery experience across several industries and her experience includes breaking down complex problems in varying domains, including customer facing applications, scaling of ML solutions, and more recently, data strategy and delivery of data platforms.
She has been part of exemplar cross-functional delivery teams, both in-person and remotely, and is an advocate of cultivation as a way to build high performing teams.
Director, Data & AI Practice, Thoughtworks Australia
David is an innovative technology leader, with over 20 years’ experience leading the strategic and technical delivery of data and AI, digital strategy and change solutions. David combines diverse experience delivering complex technology solutions with his passion for customer outcomes to develop high performing teams capable of solving our clients’ complex problems.
As a Director of the Data and AI Practice at Thoughtworks, David oversees all facets of developing Data and AI capabilities service offerings. David’s technical background is in developing simulation software for training and manufacturing.
Head of Talent, Thoughtworks Australia
Pallavi is a global change leader at Thoughtworks with experience of both consulting with clients and business leadership roles. She enjoys applying practices and principles from our rich experience in delivery and transformation back into our business. Her most recent experiences include: transforming global recruiting, leading our graduate programme and reimagining account leadership globally. Pallavi is now the Head of Talent for Thoughtworks Australia.
Principal Data Engineer, Thoughtworks
Karen started her career as a software engineer before moving into the data space, spending time in data warehousing before moving on to machine learning. She has worked on a large variety of data projects including building: data platforms, search applications, real-time streaming data applications right through to getting machine learning models into production. She is passionate about all things data and AI and enjoys solving complex problems.
Lead Data Consultant, Thoughtworks
Harmeet has extensive experience in Cloud, data engineering and machine learning operations. She has worked on designing large enterprise-scale data applications and has also implemented mature machine learning engineering solutions for clients in several industries. She is always in the pursuit of learning and keeps herself current in the ever-changing technology landscape. She is an experienced team leader who helps address challenges, both technical and non-technical, to deliver highly credible results.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 28+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based out of APAC. Can I still join?
A. Absolutely! This is an APAC-wide online event. You can join from any part of the world.
Q. Is it only for women?
A. This online webinar is open to all professional men, women and non binary professionals. #HeLovesData, #TheyLoveData too!
Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
She Loves Data UK December Drinks-Postponed
#SLDUK #Networking #Data
==UPDATE: EVENT POSTPONED==
In light of the recent U.K Government guidelines and our Venue’s COVID Policy, we will be rescheduling the SLD December Drinks to early 2022.
We’d like to say a big thank you to those who have already registered for the event! As a team and along with our event partners, we are keen to get this back in the calendar as soon as we can, whilst ensuring your COVID safety.
In the meantime, please keep in touch and check out our website for any upcoming virtual events you can participate in. You will be hearing from us very soon…
Have a great Christmas and stay safe!
SAVE THE DATE: Partnering with JDX Consulting and Wiserfunding, The She Loves Data U.K. Chapter are hosting an end of year meet-up to celebrate our Dashboard Foundations Course graduates and more generally to bring our data community together for our final event of 2021. Drinks and nibbles will be provided and we’ll also be running a raffle on the evening with some exciting prizes! So come clink a glass with us to celebrate and network with the She Loves Data community and industry leaders in Data and Technology – we look forward to seeing you there!
Tip: Bring some coins to enter the raffle!!
COVID POLICY:
In light of the rising number of COVID-19 cases globally, we are requiring all registered attendees, speakers, sponsors, and volunteers to provide proof of a negative COVID lateral flow test, taken within 24 hours of arrival to the event.
Upon arrival, please be prepared to present evidence (SMS text or e-mail) of negative lateral flow COVID test ready for verification.
Sponsors
SLD UK Chapter is excited to announce that they’re partnering with JDX Consulting and Wiser Funding for this event.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of Singapore. Can I still join?
A. Lucky for London, this is an in-person event and as such is only available for in person attendance in London. Please take note of the required Covid-measures listed above!
Q. Is it only for women?
A. Just like all our She Loves Data #MeetUp events, this programme is open to all genders.
Q. Is this an interactive discussion or just a ‘listen-in’ event?
A. Definitely interactive! Your thoughts, feedback, and questions are most welcome and will be entertained during and at the end of the discussion.
Q. What if something comes up and I need to retract my registration?
A. Please be considerate and let us know if you won’t be able to attend the meetup in advance, so we can offer your place to somebody else.
Contact us and we’ll help you.
The email you need is [email protected].
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or video may be taken at the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
The Data Journey: What happens behind the scene
Dec 4, 2021 (Saturday), 10:00 AM to 11:00 AM Jakarta Time (WIB)
AGENDA
This session will unveil the first steps to have a career in data in the Indonesian landscape.
We will explore skills we need to learn, how to network and also discuss how women can challenge stereotypes prevalent in the tech world (crazy hours, being reclusive, anti-social etc)
The goal of our session is to be engaging and informative so we hope you will join us!
Speakers
Thilma Komaling
AI Ethics and Policy Researcher@Komaling Consulting
Thilma Komaling is a Social Activist and an AI Ethics and Policy Researcher. She is the woman behind Car Free Day movement in 2004 that has later been replicated nationwide. She also initiated Smart Citizen Day (the first in the world) in 2018 in collaboration with Ministry of Communications and Information with a citizen reporting application.
Nenden Sekar Arum
Program Manager@Indonesia Data Journalism Network
Nenden S. Arum is a researcher focused on digital product management and data automation. She was a journalist covering business and economic issue, and analyst in a Jakarta-based data and media company. She is now involved in organising the data journalist community with Indonesian Data Journalism Network (IDJN) as Program Manager.
Lili Ayu Wulandhari
Data Scientist@tiket.com
Lili is a data scientist at tiket.com. Prior to that she was with Ralali.com and Gojek. She is also a lecturer at Bina Nusantara University. She has experience in machine learning both on research side and in implementation.
Tiffany Adriana
Customer Solutions Consultant@Google Cloud Indonesia
Tiffany is a Customer Solutions Consultant at Google Cloud, with a specialization in data analytics. She works with customers to reach their potential by accelerating their digital transformation through the power of Google Cloud.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of Indonesia. Can I still join?
A. Absolutely! This is an APAC-wide online event. However, we will be exploring the Indonesian Technology and data landscape and will be primarily talking in Bahasa Indonesia.
Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online webinar is open to professionals of all genders. #HeLovesData #Zelovesdata too! We will be discussing challenges faced by women so we hope the males can support this discussion.
Q. Is this an interactive discussion or just a ‘listen-in’ webinar?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and live Q&A portions at the end of the discussion.
Q. What if something comes up and I need to retract my registration?
A. Please be considerate and let us know if you won’t be able to attend the online meetup a day in advance, so we can offer your place to somebody else.
Contact us and we’ll help you.
The email you need is [email protected].
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or video may be taken at the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
