Oct 2022 – Apr 2025 · 2 yrs 6 mos · London, England, United Kingdom

• Improving new user retention and driving engagement for a global sports media application.
• Increased new user day 7+ retention by 9% by collaborating with Data Science teams to develop personalised content features based on user activity across the UK, NL, and IE.
• Improved SEO performance by enhancing the search functionality on livescore.com website, making content more discoverable.
• Boosted user engagement by 16% by launching data-driven features such as personalised sports team suggestions.
• Enabled scalable content operations by revamping the content management system to streamline aggregator workflows for the operations team.
• Achieved design consistency across brands by collaborating with VirginBet development teams to implement a unified design system using a design component library.
• Working on content strategy powered by gen AI integration with CMS to create user-engaging content, with efficiency improvements.
• Enhancing security and user authentication by leading the implementation of two-factor authentication in collaboration with the cybersecurity team.
• Optimising programmatic ad revenue by running A/B test experiments to improve cookie consent configurations.
• Mentoring associate product managers to improve their skills in writing user stories, managing scrum boards, and adopting agile product development practices.

Jul 2020 – Oct 2021 · 1 yr 3 mos · Bengaluru, Karnataka, India

• Streamlined digital user journeys and instant loan lead-management for a fintech platform.
• Lowered customer acquisition costs by 20% and enabled ~8% of transactions to complete without agent intervention by automating digital customer loan journeys on web and mobile apps.
• Increased lead generation by 14% by designing and executing acquisition experiments with the Digital Marketing team, leveraging Facebook and YouTube ads to drive traffic to optimised landing pages.
• Reduced payment processing time by 15% and improved conversion rates by developing and optimising payment solutions at Rupeek.
• Improved transaction conversions by 11.5% by designing heuristic-based lead scoring algorithms in collaboration with engineering and analytics teams, implementing them using JavaScript.

May 2019 – May 2020 · 1 yr · Mumbai Area, India

• Implemented technology-driven solutions for car sales and financing.
• Own website funnel from lead-submission to online-visit-booking
• Impact- Funnel conversion improved from 18% to 26% with monthly traffic footfall improvisation upto 8000
• Own internal applications used for sales operations. Include android, React, cordova mobile applications.
• Automated data flow with sanity across teams, tracking of stock inventory and delivery delta etc.
• Conceptualised and implemented Sales-force CRM for calling teams of pre-visit and post-visit within 4 months for 200 callers.
• Impact- Calling efficiency improvement of 22% i.e. from 135 calls/day/caller to 165 calls/day/caller
• Manage internal ERP tool which enables data operations for Inspection, Stock Management, online Auctions and web-site inventory listingalong with role management for various teams.

Apr 2018 – May 2019 · 1 yr 1 mo

• Implemented Currency CREG data service for Tally ERP.
• Task - International currency research and data gathering; user- requirement research and specification designing
• Impact- Auto-fill currency feature in user’s company profiling
• Tally-data analysis to segregate segment-specific data-influx.
• Impact- drawn insights through statistical distribution helped in data science ingestion and data acquisition requirements.
• Consumed data from GS1-DataKart, NIC distribution for attribute-gaps detection and comprehensive catalog services.
• Collated market-data and TCRF( Tally customer registration form) count to analyze SKU velocity at segment-specific business level throughTally inputs and market visits

Jun 2017 – Mar 2018 · 9 mos

• Created and maintained Data Science API for internal verification tool.
• Impact- TAT for Verification team reduced from 3.5 hours to 2.5 minutes/ Stock group
• Created mail-classifier for Tally-care incoming service mailers using word-to-vector training model with TF-IDF tweaking to improve accuracyto 86%
• Owned NLU pre-processing module. Scrapped and fetched data from web-pages using python libraries eg. Beautiful Soup.
• Impact- NLU model efficiency got improved with clean and processed data

May 2016 – Jul 2016 · 2 mos · Mumbai Area, India

• Wi-Fi based Geolocation Engine - Call Clustering Algorithm. Project at Jio Coverage Platform.
• Completed the POC for Indoor Geo-location project using K-means and Hierarchical clustering algorithm

May 2015 – Jul 2015 · 2 mos · Gurgaon, India

• It was an Internship period of around two months which drew my interest into android application development and moreover working culture out there taught me to thrive my presentational and communicational skills.
• Marketing on the other hand was a review of what I used to do in my college Magazine group, but obviously a wider exposure, which also taught me to be tactful for the work delivery.