Rishabh Sachan

Built RigiTV's recommendation ranker, lifting next-watch accuracy from ~6% to ~9% for 15M+ users. Forecasted daily renewals within 4.4% of actuals across Rs 34 Cr of revenue and built a nightly fraud check that caught ~42,700 users watching without ads.

Built a personalization layer over token-based search in EU categories, lifting CTR by 7%. Analyzed A/B tests on seller listing flows, raising seller satisfaction and CVR by 10%, and led the shift of autocomplete from listing-based to product-based experience, growing traffic 10%.

Built Autocomplete into Search to handle relevance with city and product nuances, lifting CVR 3% and orders per day 2%. Tuned search ranking algorithm by blending engagement and business metrics per user persona, increasing CVR 4%, and rebuilt the 'Your Favourite Picks' widget with recommendation logic, lifting Units per Order 10% and Add-to-Cart GMV per user 5%.

Worked with Product to evaluate proposed system changes, modelling their impact on the rake and quantifying fraud exposure before rollout. Set up alerts to catch fraudulent patterns and cut first and second degree referral fraud by identifying abusive user personas, saving around Rs 50,000.

Introduced KPIs like Class Consumption and Teacher Chat Compliance to track student engagement and teacher conversion. Analyzed campaign performance across AdWords, Facebook and TV, and worked with sales and content teams to fix demo drop-off points and improve trial-to-enrollment conversion.

Pursued a Bachelor of Technology in Mechanical Engineering from 2016 to 2020.