Oct 2023 – Jan 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India

• Co-Founder, Tech & Product:
• Gen-AI video stories destination coupled with interactive storytelling leveraging agentic systems.
• A self-serve platform allowing users (brands, marketeers, prosumers) to create/customize AI video-stories.

Sep 2018 – Oct 2023 · 5 yrs 1 mo · Bangalore

• 1. Drive Match-Making for Marketplace:
• Large scale personalized recommendation and search systems
• ML platformization
• 2. Enabling Financial Services
• PD Modeling
• Viability models using telematics data
• 3. Location Intelligence
• Decoding Trip data from telematics data

Aug 2017 – Aug 2018 · 1 yr · Bangalore

Mar 2015 – Aug 2017 · 2 yrs 5 mos

• Focus is on building Machines learning applications for fashion!!
• Building large scale platforms for Merchandizing - Pricing & Visibility, Search, Recommendation & Personalisation, Audience Marketing, Demand Sensing - Selection & Replenishments...

Sep 2014 – Aug 2017 · 2 yrs 11 mos

• Conversions: Pricing, Visibility & Personalisation

Jan 2014 – Sep 2014 · 8 mos · Bangalore

• Primary responsibility for all Data Science & Advanced Analytics Engagements for large global enterprise clients - Solutions Incubation & Project Delivery.

Feb 2013 – Dec 2013 · 10 mos · Bangalore

• Responsible for Data Science & Advanced Analytics Engagements for large global enterprise clients - Solutions Incubation & Project Delivery

Mar 2012 – Feb 2013 · 11 mos · Bangalore

• Responsible for exploring advanced analytical techniques towards the Next-Gen Analytics vision at Citi.
• Engage with business partners across APAC and North America on multiple advanced analytics efforts in the domain of Contextual Marketing, Cross-Sell recommendations, Attribution Analysis, and Shared Services Selection.
• Developed probabilistic graphical models such as Hidden Markov Models, Latent Cluster Models, and Bayesian networks.

Jan 2005 – Feb 2012 · 7 yrs 1 mo · Dallas/Fort Worth Area · On-site

• Applying mathematical optimization, statistical modeling and analytics to airline business problems in the area of operational risk/disruption mangement
• Conceptualized, designed and developed Mathematical optimization (deterministic and stochastic) based decision support products to mitigate risk and impact of disruptions.
• Delivered cutting-edge solution methodologies to tackle day-to-day operational disruptions of the airline. Recipient of the 2010 “Outstanding Employee” award in the category of “Innovation”.
• Actively involved in developing prototypes, testing new business ideas and identifying new optimization opportunities in the disruption management arena.
• Recommended business process changes and identified cost saving opprotunties in the capacity of business consultant.

Aug 1998 – Aug 2000 · 2 yrs

• Conducted operations optimization and sequencing, man-machine balancing, and process proving for an assembly line production system