Dec 2022 – Apr 2023 · 4 mos

• Handled the entire investments pod, and scaled from 700 new investing customers per day to 7000 new investing customer per day in 4 months with various app and platform features by being customer first.

Mar 2022 – Dec 2022 · 9 mos

• Owned the pre-purchase experience of Insurance, revamped the entire purchase experience, launched and scaled super-topup health insurance to 8x with multiple features. Also worked on multiple product led growth initiatives to overall double the conversions

Jan 2022 – Mar 2022 · 2 mos

• Worked on prospect offer generation (product lead growth initiative) to scale up loan disbursals per day to 1.5x and cross-sell other financial products (Health Insurance)

Jan 2020 – Jan 2022 · 2 yrs · Bengaluru, Karnataka, India

• Features:
• 1. Revamped onboarding funnel with multiple iterations and improved activation by around 45%
• 2. Introduced payment gateway and improved free trial activation conversion by 23%
• 3. Launched Taxonomy v4 (feature to change the entire user flow after free trial activation)
• 4. Worked with the Data Science team to improve the categorization, classification accuracy by 60%
• User Research and Analytics:
• 1. Owned end-to-end user research from defining, recruitment, analysis, and insight generation.
• 2. Conducted 100+ user interviews to understand customer behavior, needs, motivations, & requirements to generate actionable insights with continuous user studies.
• 3. Launching continuous iterations and improvements on the existing features to satisfy user and business needs.
• 4. Defined and tracked metrics to measure the health and success of metrics for all features/initiatives.
• 5. Deep-dived into data to find actionable insights and make features/iteration recommendations.
• 6. Owning the design, development, and maintenance of ongoing reports, dashboards, etc.

Jan 2020 – May 2020 · 4 mos

• Worked with the new initiatives team on an R&D project to automatically detect and weigh stones in jewelry using Computer Vision and on jewelry classification
• 1. Improved the performance of the current algorithm by 50% and decreased the time taken by the algorithm to about 1/4th
• 2. Acheived a 95%+ accuracy in transfer-learning based model for jewelry classification into 8 categories of jewellery

Jul 2019 – Dec 2019 · 5 mos

• Worked on feature prioritization of the productivity improvement product[Nudge] on the gamification aspect
• Conducted customer discovery user interviews to understand the product-market fit

May 2019 – Jul 2019 · 2 mos · Chennai, Tamil Nadu, India

• Worked in R&D department to solve large scale technical challenge of reducing the tickets generated.
• Developed a Deep-Learning based model (using Computer Vision and Auto-Encoder) to classify and bucketize the PDF bills based on the similarity between them.
• Built over TET, which provides the coordinates of alphanumeric characters from the PDF.
• The project saved 500+ man-hours of monthly work for the organization
• Awarded with a Pre-Placement offer(PPO) for the successful completion of project.

May 2018 – Jul 2018 · 2 mos · New Delhi, Delhi, India

• Worked in strategy team performing market landscape research on Indian Fin-tech Market on a live project.
• Analysed and categorised the data available for outlining the strategy on various segments of Fintech startups in India.
• Prepared a 16 point comparison table for the 10+ budding startups in the digital payment segment
• Analysed the pitch decks of filtered start-ups for finalising the recommendation list

May 2017 – Jul 2017 · 2 mos · New Delhi, Delhi, India

• Streamlined the work into three different sections namely collection, recycling and distribution of toys
• Conducted in depth market research to chart out the scope of geographical expansion of the NGO by analyzing the districts on different parameters such as children ratio, sports adoption, age vs population
• Worked also on building connections with various cooperates for monetary partnerships via CSRs and got a total crowdfunding and CSR partnerships in excess of 1 million rupees
• Impacted in excess of 30,000 children via the donation drive during the 3 months of internship
• Initiated the idea of having toy library in anganwadis and started 10+ toy libraries in different parts of the country