Jun 2025 – Nov 2025 · 5 mos · Bengaluru, Karnataka, India · On-site

Feb 2023 – May 2025 · 2 yrs 3 mos · Bangalore Urban, Karnataka, India · On-site

• AI | Product | Strategy | GTM
• Focus Industries : Retail, FMCG, E-commerce, Lending, Wealth Management, Insurance, and Travel.
• 50+ case studies and 150+ GenAI pilots with top governments, non-profits, and businesses to enhance product experiences and operational efficiencies. Our work involved solving use cases leveraging ML models and commercial/open source LLMs making them more secure, reliable and closer to business value.
• We built AI agents for automated monitoring, root cause analysis (RCA) and anomaly detection systems resulting in improved decision-making and highly efficient workflows.

Apr 2022 – Mar 2023 · 11 mos · Bangalore Urban, Karnataka, India

• Ventured into the US, Canada, Aus, NZ, MEA, UK, Europe, and Southeast Asia markets with innovative and exciting product initiatives.
• Taken responsibility for driving the Sales, Referral and Renewal Strategies of HealthifyMe - from ideation to impact
• On top of that, had a blast leading the all-star data science and analytics team. Together, we did put a dent in preventive healthcare- again!

Feb 2022 – Mar 2022 · 1 mo · Remote

• Major soul searching happened during this time while volunteering with a venture capitalist.

Dec 2021 – May 2023 · 1 yr 5 mos

• Mentoring students in collaboration with IDSS, Great Learning and MIT Schwarzman College of Computing.

Aug 2021 – Feb 2022 · 6 mos · Bangalore Urban, Karnataka, India

• Synthesised intelligence and growth in wealth management, we proudly unveiled our first product as a P2P investing prodigy- CRED Mint.

Aug 2020 – Aug 2021 · 1 yr

• Led a crew of clever data buffs and product pros, on a mission to whip up health hacks and strategies that have the world morphing into a fit and healthy utopia!

Jun 2018 – Aug 2020 · 2 yrs 2 mos

• Extracting insights from sales/service calls using Speech intelligence and SOTA NLP techniques.
• Developed and deployed end to end-user conversion prediction model that scores users based on their profile and activities on the application to predict what's the probability of them converting for different conversion windows using boosting algorithms and neural networks. This model ended up increasing the revenue in the business by a great %.
• Worked on clinical studies with Stanford and IIMA to understand the impact due to the intervention of HealthifyMe in users' lives.
• Worked on solving problems on Recommendation systems, Churn rate prediction, Demand forecasting, Resource optimization, and Conversion prediction leveraging cutting edge statistical tools and machine learning algorithms.
• Partnered with engineering, marketing, and design team to develop super scalable product features for increasing mass shareability of user impact stories and testimonials across various social platforms.
• Worked with 50+ MNCs to deliver insights on the health reports of their employees.
• Worked in the strategy team to develop performance-based incentive/reward models for the employees of HealthifyMe
• Responsible for end-to-end delivery of business insights, targets and action plans across the leadership.
• Owning to the growth of the Services and Sales segment by providing real-time insights on different KPIs for smarter decision making which had reduced planning time by 70%.
• Contributing to HealthifyMe’s growth through interviewing, on-boarding & coaching people on the business and analytical techniques to study it.

Jun 2017 – Jun 2018 · 1 yr

• HealthifyMe is India's largest fitness community. The HealthifyMe app enables users to track their calorie intake and fitness activities, monitor their progress, and get expert guidance from India's top nutritionists and fitness coaches.
• Collaborated with product and growth to understand user behaviour on the app and translated them into actionable data driven strategies to improve DAU/MAU and retention.
• Evaluated existing metrics and improved measurement approaches related to specific internal KPIs to lay down a solid data foundation for different departments in collaboration with teams across the globe.
• Worked on classification, regression, and clustering algorithms for prescriptive as well as predictive analysis.

Jan 2020 – Jan 2023 · 3 yrs · Great Learning

• Delivered 250+ hours of Business Analytics/AIML training so far to 200+ brilliant professionals across the globe and counting. My contribution through lectures and hands-on workshops had helped executives from all over the world to successfully upgrade their companies with AI teams.

Jul 2016 – Jun 2017 · 11 mos · Bangalore · On-site

• I led the development of image recognition models using artificial neural networks. I conducted research on micro-organism detection with high-end camera lenses and Convolutional Neural Networks (CNNs). Collaborating with cross-functional teams, I optimised algorithms for accurate image analysis.

Mar 2016 – Mar 2016 · 0 mo · Brussels Metropolitan Area

• I had the opportunity to compete in prestigious challenges organised by top companies like McKinsey & Company, Lidl, BDO, Unilever, and Degroof Petercam. I honed my skills in pitching, e-commerce, negotiation, marketing, and strategy while representing my university on a global stage.

Jan 2016 – Jan 2016 · 0 mo · Mumbai Metropolitan Region

• Led efforts at the Harvard US-India Initiative to foster cooperation between the US and India, addressing critical social and economic issues.

Nov 2015 – Mar 2016 · 4 mos · Cologne Bonn Region

• Selected and funded by the Ministry Of External Affairs, Govt. Of India to represent India at the 19th World Business Dialogue in Cologne, Germany.

May 2015 – Nov 2015 · 6 mos · Kharagpur I, India

• Researched under the guidance of Dr. Pabitra Mitra on Content based and Collaborative Filtering based Recommender Engines.
• Addressed challenges like cold start problem, data sparsity, and grey-sheep problem in recommendation systems.
• Developed expertise in machine learning algorithms and data analysis techniques.

Jun 2014 – Nov 2014 · 5 mos

• I spearheaded the Brand Development of Hangrr.Inc in the online fashion industry. I led projects focused on Affiliate marketing, driving 20% growth in online sales.

Jun 2014 – Jul 2014 · 1 mo · Noida · On-site

• Programmed microcontroller for line following robots, wall following robots, and DTMF controlled robots
• Hacked some cool projects using computer vision and sensors.

Jun 2013 – Aug 2014 · 1 yr 2 mos · Bhubaneswar, Odisha, India · On-site

• I led the expansion of our readership by fostering collaborations with talented writers and artists. By curating compelling content and implementing targeted marketing campaigns, I was able to drive significant growth in engagement rates.