Aug 2023 – May 2024 · 9 mos · Hyderabad, Telangana, India · Hybrid

• At Centre for Analytical Finance
• Upcomming paper on Microfinance loans in India, in collaboration with SUB-K

Jul 2023 – Sep 2023 · 2 mos · India · Remote

• Part of their SaaS Product team - MyIncentives, a sales commissioning platform
• Objective
• To identify key areas for product improvement and transform incentives plans and sales data into useful product insights
• Methodology
• Developed automated calculation tools to transform clients Excel-based plans to integrate with CRMs/ERPs smoothly
• Created buyer personas for 4+ different industries to enable better pitch to clients to streamline payout processes
• Tested the platform rigorously by generating random data points to assess the validity of the complex models developed
• Impact
• Ensured smooth and efficient on-boarding of 3 clients: Titan, Fastrack and Alkem Laboratories onto the platform

May 2023 – Oct 2023 · 5 mos

Jun 2022 – May 2023 · 11 mos

May 2023 – Dec 2023 · 7 mos · Remote

• Research in the field of AFI (Augmented Financial Intelligence).
• Mentored by Prof. Philip Treleaven (Director of UK Financial Computing Center) | UCL
• Objective
• Built an Augmented Financial Intelligence model to predict prices for the Indian Stock Market
• Methodology
• Extracted Indian Macro Data consisting of quantitative data using automated web scalping
• Built a user-friendly website to collect user-generated data to solve data insufficiency efficiently
• Prepossessed the data for spam elimination and performed sentimental analysis for each time frame
• Assigned ranking to the users based on their predictions and produced a rolling scoring method
• Built and tested 5 time-series ML models along with super-forecaster and compared them on MAE
• Results
• Identify the key Super-forecasters and track their predictions to anticipate unpredictable shifts
• ARIMA model along with the super-forecaster predictions produced the least error on NIFTY-50 index
• Publication
• Published a paper titled : Indian Stock Market Prediction using Augmented Financial Intelligence ML ,accepted in FICC 2025
• Received Letter of Recommendation for Exceptional Performance

May 2023 – Jul 2023 · 2 mos · Kanpur Nagar, Uttar Pradesh, India · On-site

• Data-driven Prediction of Battery Cycle Life using Early-Stage Capacity Degradation and Electrochemical Impendence Spectroscopy under Dr. Kanwar Singh Nalwa Professor.
• Institute funded Research project to develop ML-based algorithms to effectively map the early stage degradation of Li-ion cells.
• Industrial Partner: Lohum

Dec 2022 – Jun 2023 · 6 mos · India · Remote

• Part of the Strategy and Management Team under Prof. Dineshkumar Harursampath.
• As part of my stint with NMCAD Lab at IISC, I performed market analysis and strategy landscaping for their project involving eVTOL aircraft. I understood the product in detail, identified key focus areas for product improvement and contributed extensively to the strategy formulation of the eVTOL project, encompassing market research, competitor benchmarking, and the identification of product potential.

Nov 2022 – Jan 2023 · 2 mos · India · Hybrid

• Objective
• To collaborate closely with the executive team to develop and refine business strategy, leveraging market
• research and quantitative analysis and assisting fundraising by creating investor presentations
• Approach
• Prepared a comprehensive report on business details of 6+ competitors in the Quadruped industry
• Leveraged qualitative and quantitative methodologies to perform rigorous use-case analysis on
• 15+ use-cases, focusing on 7+ industries with a collective market value exceeding $70 Million USD
• Impact:-
• Pioneered a formidable foundation for business development, laser-focused on our target market