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.
Introduction to the DevOps + AI Mix
#Beginner #Hiring #Other
Date/Time:
September 7, 2023 (Thursday), 2:00 PM to 5:30 PM SGT
THIS EVENT IS IN-PERSON ONLY.
DevOps professionals are among the highest paid in today’s software development landscape, and for good reason.
“DevOps” (Development + Operations), is a collective term for a set of processes, methods, and systems used to facilitate communication, collaboration, and integration between development (application/software engineering), technical operations, and quality assurance (QA) departments. DevOps helps to eliminate deployment errors by increasing automation and making changes more transparent.
Using the DevOps development platform can quickly and continuously release one’s own software through tools and interface automation, and now AI, on the cloud.
Join She Loves Data and our partner Huawei Cloud for a live half-day workshop in Singapore where you can learn:
– What is DevOps and its key components? What roles are associated with DevOps?
– How AI is used for automation and other tasks on a modern DevOps platform
– Practical applications of DevOps skills through a short case study
– How to use a DevOps platform to quickly publish a website and test it
Target Audience:
This in-person event is open to all.
Note for live workshop participants:
Light refreshments will be provided during the tea and networking break.
Participants are expected to bring their own laptops.
Live workshop participants will get a Huawei Cloud coupon and free shirt, as well as a chance to get a certificate for HCCDA-Tech.
Please make sure that you register for a Huawei Cloud account, using the same email address you used for registering for this event:
https://support.huaweicloud.com/intl/en-us/usermanual-account/account_id_001.html
Speaker
Yi Feng ‘Lucas’ Lu, Senior Engineer, Huawei Cloud
Lucas is a Huawei Cloud Senior Engineer with rich experience in cloud native systems, IoT and other fields, as well as in software development, maintenance, quality assurance and security.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Limited tickets available.
Q. Is it only for women?
A. This offline career meetup is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: contact@shelovesdata.com
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 Science
THIS EVENT IS IN-PERSON ONLY.
Please only sign up if you are able to attend the London location, as tickets are limited, thank you.
#Beginner #Hiring
In a world where the growth of technology is exponential, we are constantly trying to find new ways to understand our environments, as well as data within them…Lo and behold, the birth of Data Science!
Join us for an insightful evening as the She Loves Data U.K + Ireland Chapter, in partnership with Frank Recruitment Group, host our very first event within a brand new Career Series.
Our inspiring female panellists 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 Science, how it can be applied across the industry and what we can be doing to ensure we are paving the way to a brighter future in business.
Learn more about how you can gain the skills to ‘break-into’ Data Science and what recruiters are looking for in 2023. 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 Science
– A career in data/tech industry
– Meeting like-minded people
– Expanding your network
We look forward to welcoming you!
Registration for in-person tickets closes on Saturday 17th June at 23:59. Limited tickets available.
Date/Time:
June 21st, 2023 (Wednesday), 06:30 PM to 08:30 PM BST
Speakers:
Cindy Weng
Sr Could Solution Architect (Data & AI) @Microsoft
Cindy has over a decade of experience in data, covering analytics, data science, research, and cloud computing. She started her career in research at Northwestern University in Chicago and IBM before joining the industry world. She built algorithms for large automotive companies, multinational banks, global retailers, and natural resource conglomerates as a consultant at Deloitte. She then pivoted to the startup world to lead data science at HelloFresh, followed by a stint at BCG Digital Ventures working with large corporations to build disruptive technologies.
At Microsoft, she has helped many companies and nonprofit organizations build and improve their AI platforms in the cloud, focusing on scalability and efficiency gains using Machine Learning Ops. Her industry experience continues to grow, with recent customers including a Formula 1 team, the government agency that makes sure your eggs don’t have salmonella, and our beloved retailer who makes Colin the Caterpillar cakes. While data is her oldest passion, her newest ones are her two children aged 2 and 6 months, and there is no AI powerful enough to predict what they do next.
Emma Walker
Head of Data Science (Loyalty)@Marks and Spencers
Emma Walker is Head of Data Science at M&S looking after teams working in the Loyalty, CRM and Decisioning spaces. She joined M&S in 2020 coming from a background leading data teams in start-up/scale-ups in the ad-tech and app studio domains. She enjoys solving customer problems and balancing business needs with personalised customer experiences. Emma is also passionate about getting more women into STEM careers, and runs the M&S Early Careers programme for Data Science.
Emma’s background is in astrophysics having completed a PhD in 2009 and taking on post-doctoral research in Italy and the USA before deciding to transition into data science via an S2DS summer training school. In her free time, she enjoys crafting and making things, particularly knitting, although she’s recently crossed the divide and started crocheting as well.
Inès Rigaud
Data and AI Innovation Analyst @HSBC
Inès is an Innovation Analyst at HSBC working with large language models. She is passionate about exploring the potential of language models to derive insights and solve complex problems. In addition to her work, Inès also takes the time to educate her co-workers about the benefits of using language models. Her expertise has helped her colleagues to better understand and utilise these tools. In her spare time, Inès enjoys exploring her creative side through arts and crafts. She is a skilled crochet artist and enjoys making handmade items such as blankets, scarves, and hats.
Katherine Lord
Director (Cloud Technology/Salesforce Recruitment)@ Mason Frank International
With over 20 years recruitment experience across multiple sectors, Katherine is one of the most experienced recruitment leaders in the UK market. After graduating with a 2:1 from the University of Birmingham in Social Policy & Politics, Katherine moved straight into a career in recruitment. In senior business development roles across offices in London and the South East, Katherine had a successful recruitment career at Hays focusing on Finance, Audit, Compliance & Risk hiring. After having her wonderful children, now 8 and 11, she moved to grow an interim and consulting practice for a Legal Risk & Compliance boutique recruitment firm, the Danos Group. She was made Partner within 15 months, moved into a global business development role and launched her practice across the US and APAC.
After some wonderful gardening leave last year, Katherine joined the Frank Recruitment Group in December 2022. She is currently running one of their successful cloud tech recruitment divisions focusing on Salesforce hiring. The key to her own success is having resilience and consistency to drive best practice whilst working to her core values.
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 event 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
event
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
Intro to Python
#Programming #Beginner #Python
Improve your understanding on the basic functionality and usage of Python!
Intro to Python is part of the Signature Program of She Loves Data. Intro to Python serves as a foundation module to data analysis in Python. This series is hosted by She Loves Data India Chapter.
Target Audience:
– Beginners in programming and data analysis
– Analysts who want to upgrade their skills.
– She Loves Data SQL completer.
Speakers
Sr Product Analyst, Delivery Hero
Lindsay has more than 7 years data industry experience around marketing, business intelligence, and consumer data in digital tech space. An educator at heart, Lindsay has been advocating and teaching data for 5 years for corporates and bootcamp academy. Outside of work, she loves doing outdoor sports and Latin dancing.
Cloud Architect, Thomson Reuters
Rittika Jindal has around 14 years of experience in data and technology. She is working as Cloud Architect with Thomson Reuters, Bangalore, India. She has strong hands-on experience in building data lakes, data pipelines using Cloud(AWS and GCP) and traditional data warehouse technologies. She loves to trek in the Himalayas and practicing Yoga in her free time.
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, #TheyLoveData too!
Do you have any other question?
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
