New Delhi, Delhi, India
I am an IIT Bombay graduate working at the intersection of AI, governance, and public systems transformation. Currently, as an AI Solution Consultant at Wadhwani Foundation, I am supporting initiatives with the Ministry of Rural Development and Ministry of Labour & Employment to design AI-enabled digital public solutions aimed at improving livelihoods, skilling, workforce governance, and service delivery at scale. My work involves translating complex governance challenges into technology-driven interventions through systems thinking, stakeholder engagement, and implementation-oriented problem solving. My professional journey combines experience across public policy, development systems, and analytical research. Through projects at CTARA, IIT Bombay and the School of Public Policy, IIT Delhi, I worked on systems diagnostics across water governance, rural irrigation, and tribal welfare, building a strong grounding in field realities, institutional design, and data-informed decision-making. I enjoy working in environments where policy, technology, and execution intersect to create scalable public impact. Prior to moving into governance and development consulting, I worked as an Equity Research Analyst at Premji Invest, where I developed capabilities in financial analysis, business modelling, and sector research. This experience continues to shape my structured and evidence-based approach to strategy and problem-solving. Having qualified for the UPSC Civil Services Examination Interview stage three times, I bring a deep understanding of public institutions, governance systems, and socio-economic policy, along with strong analytical thinking and communication skills. I am particularly interested in leveraging AI and digital innovation to strengthen state capacity, improve citizen outcomes, and build inclusive development systems.
Business Development Developed VBA model to predict firms’ financial indicatorsleveraging contextual macroeconomic factors Predicted 15 firms’ sales (< 5% Δ) by identifying sectors with > 0.5 correlation of sales with macro data Effectuated model to identify good performing stocks; back tested using stock prices of 2 companies Credit Risk Analysis Developed a framework to check credit worthiness of a company by identifying potential distresses Implemented framework by analyzing commercial sentiments & financials for client’s customer tail
Analysed 15+ year fundamental and technical data from CMIE Prowess of 5000+ NSE and BSE listed firms Developed algorithmic trading models for Indian equity market using SAS based on value and growth strategies, momentum, statistical arbitrage, beta values and Fama French Factors Established profitability of trading based optimised portfolio over market portfolio on long and short term basis