Jan 2023 – Feb 2024 · 1 yr 1 mo

• Proficiency in utilizing data storytelling to elucidate product performance, extract insights, pinpoint fundamental issues, and assist product managers/engineers in devising growth strategies for the product.
• Worked for product domains such as Catalog, Dataplatform, and CustomerSupport to facilitate their expansion.
• Deployed diverse analytical algorithms such as RFM modeling, hypothesis testing, A/B testing, cohort analysis, Erlang C and user segmentation to support specific product domains.
• Effectively managed stakeholder expectations.
• Provided mentorship to several analyst groups within the organization.

Jul 2021 – Jan 2023 · 1 yr 6 mos

Jul 2019 – Jun 2021 · 1 yr 11 mos

Jan 2019 – Jun 2019 · 5 mos · Bengaluru Area, India

• Helping the 3rd largest ad-tech company in the world to create a data (audiences and location) business.
• Responsibilities:
• a. Supporting data partnerships with TTD, M Platform by creating a generic bouquet of segments for advertisers to readily target.
• b. Maintaining data purity (location and audiences) by helping whitelist publisher data based on various statistical and logical checks.
• c. Providing support to Product Managers to allow them custom niche targeting by creating segments for the same on InMobi network.
• Data size handled - 1 to 3 billion
• Tools used for querying and analysis – Hive , Hadoop , Pig ,Python and R.

Jul 2018 – Dec 2018 · 5 mos · Delhi

• Project 1: Ranking Model
• o Designed a Mathematical Ranking model using R to evaluate the performance of delivery staff
• around the country (approx. 22,000).
• o Different metrics like productivity, conversion & attendance were considered and using that
• weighted relative scoring system was created.
• o Results based from the model were used for incentive distribution (Budget -20Lacs) and to identify
• the bottom performing staff.
• Project 2: Pre-Billing Model
• o Developed a R model to automate prebilling process by obtaining the accurate weight for each
• shipment (1 -1.2 Cr units) using past data and analytics technique.
• o The model takes into consideration 11 different weight sources by extrapolating data and
• suggested best weight source to be chosen based on priority list.
• o Directly influenced monthly billing of approx. 100 Cr and reduced prebilling process time from 20
• hours to 4 hours.
• Project 3: DC Restructring
• o Created DC restructuring plan based on the volume it receives and the Pincodes it serve.
• o Using results from the model suggested new locations for DC

Dec 2017 – Jan 2018 · 1 mo · New Delhi Area, India

• Identified 15 major competitors and prepared detailed report explaining rival company’s
• competency, average work completion time and geographical presence.
• With the help of methods like web scraping and data cleaning discovered the most in demand
• CCTV camera and its OEM in the market.
• Recommended company to form better business relations with these OEMS which eventually
• improved their productivity by 5%

May 2016 – Jul 2016 · 2 mos · Manesar , Haryana

• Worked in weld section in Body PI department
• Learned different welding errors and how to detect them in welded body parts.
• Studied detailed drawing of fork (a part used to steer the scooter), various welding sequence involved in it and how to check the final dimension and size of the finished welded product through jigs and gauges.
• Finally, statistically analyzed the monthly defected parts to total parts produced ratio which came out to be 81%.
• At the end suggested remedial methods to improve welding efficiency.