Oct 2021 – Mar 2024 · 2 yrs 5 mos

• Leading Core DS/ML & Analytics across all geographies of CARS24- India, Middle East, Australia and South East Asia
• Other undertakings on the side:
• JAS'23: GenAI / LLM strategy & roadmap for inhouse build (Yoda module) of tooling, infra to better leverage GPTs and potential custom SLMs in future.
• OND'23: Launched 0-1 journey of 'Assured Buyback Cover' - new line of business / B2B partnership with Bajaj Finserv.

Oct 2020 – Mar 2024 · 3 yrs 5 mos

• Leading all things data @ CARS24 from Core DS/ML modules to BI & Strategy to data warehousing efforts; building data driven solutions for Pricing across diff liquidity channels, C2B & B2C recommendation engines, Inventory procurement, Auction Scheduling/Strategy, Marketing Optimization, Fraud mgmt, Retail/Sales Efficiency projects & more.
• At CARS24, we are reshaping the used car ecosystem in India, pioneering tech-enabled and data driven approach addressing price & information asymmetries of this domain.

Apr 2019 – Sep 2020 · 1 yr 5 mos

• Head of DS @ CARS24 - founded and now leading a team of strong data scientists injecting advanced data science algorithms into Pricing, Recommendation Engines, Auction Scheduling/Strategy, Marketing Optimization, Retail/Sales Efficiency projects

Aug 2018 – Apr 2019 · 8 mos

Mar 2017 – Aug 2018 · 1 yr 5 mos · New Delhi Area, India

• Leading the data science and ML verticals at Zomato with focus on online ordering and personalization.
• Online ordering business:
• Product optimization: Funnel/click-stream analyses for feature evaluation/enhancements, A/B testing
• Logistics: Locality & time level fleet planning, rate card optimization to drive appropriate rider behavior, order assignment logic e.g. queuing, clubbing, ETA prediction etc
• Growth/Marketing: LTV vs CAC analysis for different acquisition channels (ATL, digital, cash back, discount, BTL etc), Retention cohorts, Loyalty segmentation etc
• Call Center capacity planning, Supply prioritization
• Recommendation engine:
• Personalization into listing/search pages across all verticals from online ordering to classifieds & dine-out.
• Relevant notifications, pop ups, trigger campaigns etc

Mar 2016 – Mar 2017 · 1 yr · Gurugram, Haryana, India

• Heading the data science and analytics team responsible for generating custom data insights, creating & implementing advanced stats models/algorithms and developing & maintaining KPI reports across all functional areas of the organization - acquisition, retention, personalization, feature designing, planning & merchandising, supply chain & production etc.
• Special focus on buyer retention through onsite and offsite personalization.

Jul 2015 – Mar 2016 · 8 mos · Gurugram, Haryana, India

• Introducing world class statistical algorithms at Limeroad - with the end goal of helping our online customers discover amazing & relevant products at great prices.
• Special focus on personalized listing pages and recommendation rails.

Oct 2012 – Jul 2015 · 2 yrs 9 mos

• Integrated retail world data with financial behavior segments to create robust propensity models predicting response, risk and conversion likelihood of prospects for banking (Credit/Debit Cards, Loans) and insurance (Car, Home etc.) products - leveraging brand loyalty and knowledge of retail shopping behavior to design optimised acquisition, cross selling and retention campaigns.

Jan 2012 – Oct 2012 · 9 mos

Jun 2010 – Dec 2011 · 1 yr 6 mos

• Customer behaviour analytics for the retail sector.
• Acquisition modeling (using statistical techniques) for financial products using a mix of financial service segments and retailing world variables

Mar 2011 – Oct 2011 · 7 mos · New Delhi

• Kick Off - an initiative to promote sports & fitness for working professionals

Jun 2009 – Jun 2010 · 1 yr

• Data based consulting in the field of sales force effectiveness - involved in the Incentive Compensation to the sales force, Contest designing to boost sales, Call planning for effective targeting of customers.

Jun 2007 – Jun 2009 · 2 yrs

• Pharma sales force effectiveness and compensation planning.

May 2005 – Jun 2005 · 1 mo · Pune

• Intern in R&D department of Thermax group
• Understood the challenges being faced in boiler and chiller designing.
• Proposed changes in the fins design to minimize loss due to contact resistance.