May 2024 – Oct 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

• Deployed an automated renewal calling mechanism, maintaining 88% retention despite
• a 35% pricing hike in plans resulting in 32% overall renewal revenue increase.
• Designed and launched a self-serve plan migration flow, leading to 22% better
• renewal rate validated via A/B testing.
• Led customer research with 40 users to influence pricing strategy; introduced 10%
• discount for upfront payments, projecting a 7% uplift in annual renewal rates.
• Improved health underwriting accuracy by implementing mandatory Tele-MER for
• customers with past ailments; cutting down 12% high risk issuances.
• Led the end-to-end regulatory reporting automation for the insurance vertical by
• collaborating with Legal, Operations, Finance, Actuary & Engineering teams; reduced
• manual effort by 65%.

May 2023 – May 2024 · 1 yr · Bengaluru, Karnataka, India · On-site

• Launched AI sales assistant (Nisha) to answer health insurance queries, contributing to
• 6% of total policy sales.
• Built outbound calling functionality for loan callback requests, improving CSAT score
• from 3.03 to 3.45 by prioritizing high-intent users

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · On-site

• Identified key metrics and analyzed cloud data of 20,000+ customer scooters for baselining existing range estimation accuracy.
• Interacted with over 40 daily active users to better understand the actual user experience around the instances of range drop issues.
• Analysed NMC cell behaviour to develop a hypothesis for the root cause of range drop issues based on customer data and user feedback.
• Defined test cases and ran experiments on 40 test scooters for validating the root cause hypothesis based on the test data collected.
• Backtested the proposed heuristic range estimation model using test data yielding an estimation accuracy improvement of 6.5%.

Sep 2021 – Feb 2022 · 5 mos · Mumbai, Maharashtra, India · Remote

• Independently shipped major student pod modules like day-over-day progress card and Lido community dashboard
• Devised productized solutions and operational improvements increasing the new user reward redemption KPI by 22% in 3 months
• Facilitated the addressal of escalations from customer success team concerning the students by providing required product solutions
• Jointly prepared the student product walkthrough document covering details of all features and functionalities of the student product
• Performed in-depth pre-release QA and user acceptance testing of major modules on both staging as well as production environment.

Feb 2021 – Apr 2021 · 2 mos · Bangalore Urban, Karnataka, India

• Carried out extensive research on Financial Risk Profiling methods and identified best practices for building a risk tolerance questionnaire
• Devised a response validation framework using a correlational mapping between user responses to ensure internal consistency
• Developed a risk tolerance questionnaire and checked its validity and reliability based on International Psychometric Standards
• Built a machine learning model using KNN Algorithm (K Nearest Neighbour) for the classification of the client's Financial Risk Tolerance

Aug 2020 – Jul 2021 · 11 mos · Kolkata metropolitan area, West Bengal, India

• Co-lead a team of 35 core members and coordinated with 9 cross-functional teams to successfully organize the fest amidst pandemic
• Conceptualized the first-ever SF Jukebox, which hosted 2 International bands and Rajasthan's folk culture resulting in a turnout of 5000+
• Individually garnered a sponsorship amount of INR 4.5 Lakhs through 8 corporate deals, leading to a budget of INR 35L
• Strategized marketing initiatives and branding avenues for sponsors on the online platform reducing the cost of branding by 75% YoY

Jun 2020 – Jul 2020 · 1 mo · Uttar Pradesh, India

• Worked on the Flue Gas Desulfurization technology compliance by government of India and various technical and financial factors influencing it's installation in the power plant.