Kanha Sodani
Email: ks4524@imperial.ac.uk | Phone: +44 7404761456
Education
Imperial College Business School, London, UK (Aug 2024 – Jun 2025)
Modules: Linear Algebra, Data Structures and Algorithms, Machine Learning, Statistics & Econometrics
Delhi School of Economics, Delhi, India (Jul 2019 – Jun 2021)
Modules: Mathematics for Economics, Econometric Methods, Topology, Game Theory
National Institute of Technology, Tiruchirappalli, Trichy, India (Jun 2015 – May 2019)
Bachelor of Technology in Chemical Engineering (CGPA - 8.55/10)
Work Experience
Associate – Group Young Leadership Program, Bajaj Finserv Pune, India (Jun 2021 – Jan 2024)
Senior Data Scientist | Bajaj Allianz Life Insurance
- Developed a Python-based risk analysis tool that automated and standardized metric calculations, reducing manual analysis time by 60% and improving reporting consistency
- Built a machine learning model to predict early death claim risk, cutting investigation costs by 40% through automation of low-risk claim approvals and flagging of high-risk cases for manual review
Risk & Pricing Analyst | Bajaj Finserv Health
- Led pricing and risk strategy for 60+ corporate health insurance clients, leveraging data-driven insights to ensure sustainable margins and manage underwriting risk
- Collaborated with sales team to secure over 10 corporate deals, surpassing $1 million revenue target
Data Scientist | Bajaj Allianz Life Insurance
- Developed a propensity model that achieved a 5x lift in conversion rates with strategic targeting of leads for upsell campaigns
- Designed a data-driven growth strategy that enabled the launch of 100+ branches by building a location scoring algorithm to rank pin codes using geographic, competitor and industry data
Credit Risk Analyst | Bajaj Finance
- Analysed credit bureau and transactional data using SQL to inform credit card risk policy decisions, reducing portfolio delinquency rate by 1.83 percentage points
- Built a Power-BI dashboard using advanced DAX queries to monitor key risk indicators for the credit card portfolio
Equity Research Intern, Edelweiss Broking Limited Mumbai, India (May 2018 – Jul 2018)
- Conducted financial analysis of Indian explosives sector, using advanced Excel to identify companies with high ROI potential
Projects
Chintan – LLM-based Journaling App (link)
- Built and deployed an interactive journaling app using Mistral AI via LangChain and LangGraph, enabling users to reflect through natural, conversational interactions with a language model.
- Implemented user authentication, journal storage using SQLite, and integrated custom APIs for password verification flows.
Email Classification Tool using ML & GCP (link)
- Developed a Gmail inbox classifier using a Naïve Bayes model with Python, integrating Gmail API and Google Cloud services to automatically detect and label banking-related emails.
Skills
- Programming: Python (Pandas, NumPy, Scikit-learn, PyTorch), R, SQL, MS-Excel
- Data Visualization: Tableau, Power BI, Matplotlib, Ggplot2
- Cloud Platforms and Tools: AWS, GCP, Git, Github, Docker