Jan 2023 – Jun 2023 · 5 mos · Dallas,Texas

• Teaching Assistant for the course Web Analytics and Insights to 250+ students
• Conducted weekly simulation walkthroughs, and held office hours for helping students to solve their queries.
• Collaborated with Professor to design and finalize the curriculum for Graduate students.
• Conducted the Google Ad Simulation Stukent lab sessions for students
• Evaluated and graded weekly assignments, simulation rounds, and projects and conducted sessions for course-related doubts, quizzes, and exam reviews.

Feb 2022 – May 2022 · 3 mos · Richardson, Texas, United States

May 2022 – Aug 2022 · 3 mos · Bellevue, Washington, United States

• Worked with a cross-functional 9+ member team consisting of Amazon Air’s program managers and applied scientists to independently create a novel ETL framework that can fetch network-level metrics for planning and execution purposes
• Worked on replacing the existing ETL framework and dashboard which cost the organization more than $ 30,000 weekly in maintenance and was a bottleneck in new model launches
• Created a scalable, fault-tolerant and automated solution consisting of AWS lambda, S3, Glue, Cloud Watch, and Tableau to provide real-time reporting of data consisting of more than 5 million of rows coming from 5 different ML optimization models
• Worked with multiple stakeholders to gather insights requirements to develop 5+ tableau dashboards that are used by different model owners
• Designed database schema from scratch by testing out different ER models after gathering requirements
• Built smart views, custom filters, and pre-configured visuals, consisting of trend charts, bar plots, data metrics, etc., to slice and dice the data to help scientists monitor and compare results for model enhancements across different scenarios in an automated way
• Wrote whitepapers and created documentation on the entire process so as to make it easy to onboard new models as well as make the pipeline easily replicable for future ETL purposes
• Leveraged SQL to create ad-hoc queries and create custom views in Tableau so as to cater to the needs of stakeholders
• Gained experience in translating complex business problems into feasible data science projects, scoping and constraining the problem to reduce complexity, testing various hypothesis, and forming the right assumptions based on the data

Mar 2017 – Jul 2021 · 4 yrs 4 mos · India

• Churn Modeling: Developed a classification model for predicting whether a client (school) will churn from the company using classification algorithms- (Decision Trees and SVM) and acquired 75% accuracy.
• Database Design: Built and maintained database consisting of 12 tables to sustain analytical need of the organization on SQL Server.
• Metric Creation: Worked cross-functionally with 3+ teams to analyze the data and design analytical infrastructure to include metrics on sales, daily volume, operations, and website traffic.
• Business Intelligence: Used Tableau to create automated insights-driven weekly and monthly business review documents, capturing 20+ key actionable metrics for the Senior Managers.

Feb 2017 – Dec 2020 · 3 yrs 10 mos · Delhi

• Solved questions based on advanced mathematics for B.Sc Mathematics students
• Developed answer-sheets for books and manuals based on Mathematics

Oct 2016 – Feb 2017 · 4 mos · Gurgaon, India

• Spearheaded the development of customer analysis pipeline to understand Yumchek's return customers and their needs, provided actionable insights to higher management. The findings are used to strategize for new products and invent on behalf of customers for most satisfying return experience
• Created and managed end-to-end analytical data products and more than 20 tableau dashboards which can help the leadership in having visibility of ongoing business
• Implemented the data governance project for the team by creating data reporsitories, documenting pipelines and setting ownership of the stakeholders involved in the data extraction and reporting process.
• Developed statistical model in Python to predict customer churn which helped the company in designing better campaigns and strategies

Jun 2016 – Aug 2016 · 2 mos · Gurgaon, Haryana, India