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SHREYA NADKARNI

Data Analyst | Graduate Student at DePaul University focusing on Data Analytics

“The goal is to turn data into information, and information into insight.”

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ABOUT ME


I am a Data Analyst, pursuing my master’s in Business Analytics from DePaul University, Chicago. Born and raised in Mumbai, India with an up-bringing of always discovering something more and as a child, I was always taught to be curious to Know the” Why of things”.

My Past experience in the field of Economics & finance allowed me to understand that I aspire to be a rationalist and thus working with data helps me develop some of the virtues of Rationality such as Curiosity, & Empiricism (what can more surely resolve an argument than a well-designed A/B test?)

When it was time to become a student, I naturally gravitated towards tech-heavy education such as coding in Python and R programming. However, I felt that pure engineering was too abstract for me, and I had a creative urge to build something that had a practical use in the real world such as Storytelling using data. So, I decided to get started with Data Analytics and discovering data science was a revelation, and here was the opportunity to build advanced creative dashboards using Tableau based on numbers and using statistical models, catering to both my creative mentality and my inner data geek.

People would describe me as a creative thinker as I like to explore alternative solutions to problems, and I have an open mind about what works best. Some would also look at me as an eternal optimist. I never let little frustrations set me back and I’m always looking for solutions right away. Over the weekends I usually love to paint, play volleyball and explore the city. I have a “Lets order some pizza and watch an old movie” personality.

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DePaul Kelstadt Graduate School of Business

Master of Science - MS, Business Analytics (Focusing on Data Analytics)
(Sep 2021 - Mar 2022)
Grade: 4.0


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University of St. Andrews

Master's Degree, Marketing, Strategic Management & Economics
(Sep 2019 - Aug 2020)
Grade: 4.0

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The London School of Economics and Political Science (LSE)

Bachelor's Degree, Economics and Business Management
(Aug 2016 - Aug 2019)
Grade: 4.0

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Data Analyst

Atlanta, Georgia, United States
(Jun 2022 - Present)
Built out the data and reporting infrastructure from the ground up using Tableau and SQL to provide real-time insights into the product, marketing funnels, and business KPIs.
Implemented long-term pricing model that improved customer value by 25% using NetSuite.
Implemented automated ETL process by injecting data using FiveTran and performing analytics on Snowflake.
Worked with Data Mapping, Querying the source and target tables in database using SQL for testing purpose.

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Fulfillment Analyst

Edinburgh, Scotland, United Kingdom
(Aug 2020 - May 2021)
Responsible for analyzing e-commerce channel, fulfillment network performance and key metric.
Automated reports and tools with a combination of using SQL and advance Excel (Macros/Lookups).
Document the SAP transaction flow of Order to Revenue-for all inventory transactions to solve issues.
Uncovering trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions.

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Marketing Analyst - Intern

Mumbai, Maharashtra, India
(Jun 2019 - Aug 2019)
Conducted end-to-end analyses to drive insights for marketing stakeholders around campaign performance and impact to sales pipeline progression, expansion, and customer retention.
Worked on large data sets, undertaking in-depth quantitative analysis, and distilling data into practical and intuitive strategies for marketing and pricing planning.
Conducted research on consumer behavior/consumption patterns used to implement promotional strategies.
Forecasted consumer behavior over a 10-year period.

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Economic Analyst - Intern

Mumbai, Maharashtra, India
(Jun 2018 - Aug 2018)
Conducted end-to-end analyses to drive insights for marketing stakeholders around campaign performance and impact to sales pipeline progression, expansion, and customer retention.
Worked on large data sets, undertaking in-depth quantitative analysis, and distilling data into practical and intuitive strategies for marketing and pricing planning.
Conducted research on consumer behavior/consumption patterns used to implement promotional strategies.
Forecasted consumer behavior over a 10-year period.

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