Aug 2023 – Mar 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Jan 2022 – Aug 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

• Razorpay Checkout
• 1. Product owner for Razorpay Checkout. The heart and $$ maker for Razorpay.
• 2. Checkout is a 10-100 product, serving both mid-market and Enterprise customers.
• 3. Responsible for the overall Checkout experience on both Standard and Custom Checkout (basic and Enterprise offerings)
• 4. End-to-end product ownership including need discovery, product building, GTM and also managing stakeholders in Fintech for Compliance.
• 5. Interacted with external stakeholders, the likes of RBI, Visa, Mastercard, to make Razorpay 100% compliant for Tokenization from Checkout's perspective.
• 6. Cross functional collaboration across Razorpay. Checkout is the point-of-contact for all of Razorpay's offerings like UPI, Cards, EMI, Net Banking with end users.
• Magic -
• 1. Was initially responsible for Razorpay's 0 to 1 offering Magic Club.
• 2. Complete accountability from ideation, market sizing, customer need finding to product delivery and scaling.

Nov 2019 – Jan 2022 · 2 yrs 2 mos · Bengaluru Area, India

• − Recreate is a SAAS platform that uses a combination of NLP and Computer Vision to convert text into video.
• − Raised $55K venture capital funding. Grew the company to 10K+ Users from 123 countries with over 300 paid customers.
• − Gross sales were over $60K with a team of 5 and in a duration of 8 months.
• − Primary focus involved strategy and execution across Product and Marketing.
• − Managed and developed strategy for cross-functional teams ranging from tech, design, marketing to customer support.

Jul 2019 – Nov 2019 · 4 mos · Bangalore

Mar 2018 – Aug 2019 · 1 yr 5 mos · Bengaluru Area, India

• − End-to-End ownership of the product. From ideating to scaling Ria (Ria is India’s first AI powered health assistant)
• − Defining long term strategy for the team and setting short term KPIs.
• − Complete ownership of a team of 8 with 2 Engineers, 1 Data Scientist, 1 Marketer, 2 QA, 1 designer and 1 content writer.
• − 25% Of the Gross Revenue at HealthifyMe is now generated by Ria’s AI Diet Plans
• − 51% of all questions previously answered by human coaches are now offloaded to Ria. Thereby 2X human coach efficiency.

Dec 2016 – Mar 2018 · 1 yr 3 mos · Bengaluru Area, India

• − Developed the current in-house architecture for Ria, which is an ensemble of Bi-Directional LSTM and a Similarity based model and deploying it to production.
• − Scaled the product from <200 users to its current state of handling 100K+ users
• − Predictive Analysis with Gradient Boosted Trees for customer Churn prediction. Ability to predict churning customers with 87% accuracy (7 days in advance).
• − Used Clustering Algorithms to find customer segments from older user cohorts to drive revenues.
• − Built a recommender system to generate automated diet plans within 3s, eliminating 18min from manual plan creation time.

Aug 2016 – Nov 2016 · 3 mos · Chandigarh Area, India

• − Analyzed analytics reports by defining KPIs and extracted insights from SQL database
• − Improved a ‘sign up customer dropout funnel’ to increase conversions by 24%
• − Was responsible for the demand (customer) channel. Created user journeys for various stages of the customer life cycle from acquisition to retention.
• − Analyzed cohorts from various campaigns to identify effectiveness. Decreased customer acquisition cost (CAC) in an acquisition campaign by 40%

Jan 2016 – Jun 2016 · 5 mos · San Francisco Bay Area

• − Monitored effectiveness of SEO and marketing programs in terms of traffic. Performed
• keyword, market and competitive research.
• − Coordinated with web designers for redesigning and optimizing organic search by
• monitoring keyword use and effectiveness in the home page
• − Developed content initiatives to launch blog posts, video content and social media posts to
• generate significant inbound marketing leads.
• − Coordinated with the tech team to improve the user on-boarding process which resulted in a
• spike in user registrations by 10K

Jun 2015 – Nov 2015 · 5 mos · San Francisco Bay Area

• − Bookworm is a B2C platform that intelligently delivers small snippets of a book to you
• during your free time.
• − Managed to scale Bookworm to 5K users in a span of 4 months. Upheld a DAU/MAU ratio of 0.18
• − Was primarily responsible for growth and operations.

Jun 2014 – Sep 2014 · 3 mos · San Jose, California

• Worked on developing a new business model (Virtual Enterprise Gateway) for major telecom operators like Orange and AT&T.Created a database and optimized over 15 factors influencing finances. Depicted cash flows for this new model over a 5 – year period. The model proposed an increase in net income for AT&T by 112M (per year), a net gain of 1.7%.

Nov 2013 – Apr 2014 · 5 mos · Stanford, California, United States

• − IRiSS is the Institute for Research in Social Sciences at Stanford. The job involved assisting
• the head of IRiSS in everyday operations.
• − Everyday jobs involved cataloguing different research in the field of social sciences and
• garnering insights.
• − Assisted in coordinating events across Stanford Campus.

May 2011 – Jun 2011 · 1 mo · Bengaluru Area, India

• Researched full product life cycles of over 15 ‘Indian Innovations’ from intellectual property protection, marketing and market penetration to variation in sales over the first 3 years of product inception.
• Analyzed the competitive responses of Maruti Suzuki (pricing strategies and new models) to retain its market share. Created a qualitative model to predict the inefficiency in introducing low-end cars to the Indian automotive market.

May 2010 – Jun 2010 · 1 mo · Hyderabad Area, India

• Worked on special purpose materials (Titanium) understanding Structure - Property - Processing relationship by controlling the amount and purity of alloying elements.