Nov 2022 – Jun 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

• Consulting startups on data science and media monetization

Feb 2022 – Oct 2022 · 8 mos · Bengaluru, Karnataka, India

• Building data pillars for content platform, driving engagement and monetisation

Mar 2020 – Feb 2022 · 1 yr 11 mos · Bengaluru, Karnataka, India

• Marketing science, Digital Marketing, AdTech/MarTech

Jan 2018 – Dec 2019 · 1 yr 11 mos · Bengaluru Area, India

• Entrepreneurship journey: Co-founded an AutoML product start-up. I was responsible for business development, apart from everything to make it work. Vision was to make data scientist life easier by automating most of the model building process, from data preparation, feature selection, iteration between multiple ML techniques to validation & comparison.

Nov 2016 – Aug 2017 · 9 mos · Mumbai Area, India

• Customer research & analytics, new content selection, viewership forecast for new content/channel

Jul 2013 – Sep 2016 · 3 yrs 2 mos · Mumbai Area, India

• Drive strategy of Hindi Movie business to become more profitable and sustainable. Content strategy, content acquisition, new business planning, content portfolio optimization for Hindi Movies division
• Big data initiatives, data science projects across Star TV corporate, text mining on scripts and social media response, association & sequence analysis on consumer journey

Jan 2013 – Jun 2013 · 5 mos · Gurugram, Haryana, India

• Driving advance marketing analytics across pharma clients. Specially, model building based on APLD (Anonymized Patient Level Data).

Nov 2010 – Dec 2012 · 2 yrs 1 mo · Hyderabad Area, India

• Setting up team for Marketing science, Oncology. Led Marketing science COE engagement with US & EU markets. Key focus was on Portfolio Optimization, Marketing Mixed Modeling (MMM) and marketing campaign designs for US General Medicine & Oncology divisions.

Apr 2008 – Oct 2010 · 2 yrs 6 mos · Bengaluru, Karnataka, India

• Working on Retail and Entertainment industry. The work comprise of Campaign design, Promotion optimization, market basket analysis, Post campaign analysis, demand planning and lots of data mining.
• Home Entertainment:
• DVD distribution optimization across retail stores,
• Program design and effectiveness measurement for store layout re-designs, shelf re-design and other store level initiatives,
• Performance measurement of movies,
• Sales forecast for new movies,
• Social media measurement of new product concepts and campaigns

May 2006 – Mar 2008 · 1 yr 10 mos

• Started with Hi-tech industry client, doing predictive analytics, segmentation, market basket analysis. Later on moved to retail sector to work on market basket analysis, campaign design and market mix modeling. This was a good learning experience as the retail uses analytics for mostly direct marketing activities with returns quantifiable (easier to measure the impact than any other sector), CRM datasets are normally huge, presenting a different set of challenge for analytics. Being good at algorithms/programming (not just SAS/SQL/VBA), certainly helped.

May 2005 – Apr 2006 · 11 mos

• Online Lottery:
• Studying and gathering business requirements for different modules of Online Lottery System (OLTE, OLTP, interface design, etc.)
• Understanding the existing system, GAP Analysis.
• Leisure gaming sector
• Preparing pre-sales materials & presentations, RFP response
• Industry research (Leisure Gaming) and developed Go-to-Market strategy,
• run e-mail campaigns