Headline

Product-Angel One Ex Product @Sony Pictures, OLX Group, Paytm

About

A Data guy bringing exceptional abilities in competitor analysis, business intelligence development and trend assessment. Successful at promotion of company advancements and boosting Consistently reaches revenue targets by leveraging data and producing well-executed recommendations Design thinking, Analytical solution design, Problem solving, Client management Industries – o BFSI: Operations Analytics, enhancing customer experience by reducing the application processing time o Retail: Product assortment and space planning, Performance reporting o Pharmaceutical: Digital Email Marketing, Customer Segmentation Technical skills – Python, SQL, MS Excel and VBA, SAS, Tableau, GDS, and MS Power Point Statistical Modeling & Machine Learning – a/b testing, Clustering, Classification models, Regressions Client Communication - Interacted with various stakeholders to drive end-to-end project execution, starting from problem definition to driving consumption

Location

Bengaluru

Work experience

Head of Product Analytics at Angel One, Apr 2026 - Present · 5 mos, On-site

Data Scientist (Product Strategy and Growth) at Angel One, Jan 2024 - Apr 2026 · 2 yrs 4 mos, Delhi, India

Manager Product and Analytics at Sony Pictures Entertainment, Aug 2022 - Jan 2024 · 1 yr 6 mos, Gurugram, Haryana, India, Developed and implemented data-driven strategies to optimize product performance and drive business growth. Analysed trays for live, upcoming, and trending content and provided CTA to follow favorite artists, achieving 5Mn additional videos. Collaborated with cross-functional teams and help designed user journeys and wireframes leading increasing Viewer to Active ratio by 5% Improved keyword ranking and optimized SEO efficiency on website; analyzed impressions, clicks and CTR and reduced bounce rates, increasing monthly organic traffic by 12% Improved keyword ranking in Search and optimized Search efficiency by 12% by working on different level of Algorithms through analysis Revamped the details page leading to increase in Vvs and Subscription through analysis

Manager Product and analytics at OLX Group, Aug 2021 - Jul 2022 · 1 yr, Gurugram, Haryana, India, Successfully Launched CRM of the future product in markets like CL, MX, TR and let to an increase in the number of cars procured for the leading LATM markets o Increase In Auction to Bid Conversion i. Working closely with the technology team and the product manager, testing the design changes in the auction detail page to make it more readable and intuitive, set up experimentation (A/B testing) and increase the auction page view to bid conversion percentages for dealers in Mexico and Chile o MX/Cl Dealer Superapp Launch i. Created all the event logging in the app (events fired on through the app clicks and impressions) ii. Brainstormed with the product managers and country leads to decide the metrics that would be helpful to decode the business opportunities and shortcomings iii. Extracted the data, created queries, set up ETLs using Jupyter files and crontabs to create a tableau dashboard Reducing Inspection Time of Inspections i. Based on the changes done in the UX/UI of the inspection app, created A/B testing scenarios, divided users in the A/B groups, brainstormed on the Test and control KPIs and using python created mailer reports for the results update and as a result reduced the inspection time by 10 Launched new reformed Bid that led to an increase in the no of bids placed (6%) RanA/B testing campaign targeting relevant customers from OLX with desired product offerings: Based on the changes done in the UX/UI of the inspection app, created A/B testing scenarios, divided users in the A/B groups, brainstormed on the Test and control

Product at Paytm Mall, Feb 2020 - May 2021 · 1 yr 4 mos, Noida, Uttar Pradesh, India, Customer Segmentation using RFM analysis :. Identified the top customers across Paytm mall based on Recency, Frequency and Monetary value. The segmented customers were then retained and was targeted using Push notifications. It was observed that the overall CTR went up by 3%. Market Basket analysis : In order to increase the orders, count by looking at the combinations together that occur frequently in a transaction. Association rules was used to predict the favourable combinations. The output was used to cross sell different products and it also helped in enabling the “You May Like” and “Frequently Bough Together”. The CTR of these two widgets increased and so did the revenue. Prepared and Automated open funnel which used to identify the performance of Paytm Mall and different categories by monitoring the key metrics daily. Promo Code analysis which helped us to identify which type of promo codes help us reduce our cost and increase the customer involvement by doing a cashback sensitivity analysis. Automated all the important metrics by creating a GOOGLE DASHBOARD STUDIO which reduced the manual efforts and increased the efficiency.

Product Analyst- Consulting (E-commerce, Risk ) at Factspan Inc., Apr 2019 - Nov 2019 · 8 mos, bangalore, Exploratory Data Analysis on the data extracted. Customer Profiling by performing clustering and drawing conclusion. Mapped process activities to identify shortfalls and propose options to rectify operational inefficiencies. Cross sell and the complete funnel analysis using adobe analytics

Education

Master of Business Administration - MBA, Accounting and Finance and Analytics, Liverpool Business School

Master of Business Administration - MBA, Business Administration and Management, General, Institute of Management Technology, Ghaziabad