Sep 2022 – Oct 2023 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Helping people become millionaires!
• Built the most seamless way to invest in startups from scratch (0-1)
• Used by top Angels and VCs in India.

Oct 2020 – Sep 2022 · 1 yr 11 mos · Bengaluru, Karnataka, India

• Built the Referral Program from scratch and added 7% of enrollment volume via Referrals. This included defining metrics, building a roadmap and quick execution with multiple tracks.
• Defined goals for engagement within the app, built features that improved time spent by 19% and sessions/user by 31%.
• Increased the Appstore and Playstore ratings for the mobile app from 3.9 to 4.8!
• Improved D14 retention by 15% by launching new products like Bright Plan and improving users’ Onboarding
• experience. Also set-up analytics(0-1), distilled insights which quickly led to faster product iterations!
• Reduced business-critical risk metrics: Late fees incidence (3% to less than 0.5%) , Overdraft Incidence (3.5% to under 1% ).
• Increased impact of Bright’s Debt manager by improving Touch rate by 15% (% users with at least one card paid each month )
• Other Initiatives
• ∗ Came up with crucial User Segmentation ideas - used across the business.
• ∗ Worked with Customer Success - built analytics to improve customer experience.
• ∗ Managed multiple P0 customer issues at Bright.
• ∗ Solved Payments operation issues and built an automated Payment approval process.

Nov 2019 – Jun 2020 · 7 mos · Bengaluru Area, India

• ✓ Part of Platform Team which delivers all Data science capabilities to various products within the company.
• ✓ Defined, managed, and wrote scripts in PostgreSQL and Python to compute the entire Platform Metrics including all DS and engineering projects, analyzed, and helped to make better product decisions.
• ✓ Working with Data-Scientist’s to deliver the best Resume Parsing Service in the country. Improved the F1 Score for all Resume fields by 25% in 4 months beating India’s best Resume Parser metrics and saving 40 lakhs while creating additional revenue from potential sales.
• ✓ Created PRDs on building automatic metrics calculation system, features for resume parsing, and delivered them on time.
• ✓ Understand algorithms and concepts used like LSTM,RNN, NLP for the project, debug the outputs, and give inputs to the Data Science Team on improvements while prioritizing customer needs.
• ✓ Have a good understanding of building Search Algorithms.
• ✓ Validate all data generated for the search algorithm before it is pushed to production.
• ✓ I planned and ran multiple meetings ranging from within the team to weekly platform meetings

Jul 2018 – Nov 2019 · 1 yr 4 mos · Bengaluru Area, India

• Worked mainly in two teams as part of the graduate program at RBS.
• Commercial and Private Banking Business Unit
• 1. Invested time to delve deeper into machine learning using various courses, hands-on problems and pieces of training from data scientists in the team.
• 2. Developed ML, python functionalities for automating customer requests. This mainly involved developing complex Python logic for text extraction, topic-modelling using different classifiers and word-embeddings-based key-field extraction.
• Treasury, Enterprise Solutions Team
• 1. Part of a three-membered team of developers responsible to deliver new Social Bonds, Green Bonds for the Bank, part of broader sustainability goals for the Bank
• 2. Worked extensively to build various mapping algorithms from scratch using Python, and SQL and delivered at a rapid pace.
• 3. I went beyond the role to understand the business implications of the project and helped in the requirement-gathering process for climate models, and flood-risk models.
• 4. Experienced in using visualization tools like powerBi, analysis on Excel.