Kshitij Gupta
Analytics professional with an MSc in Business Analytics (Warwick Business School, Merit) and 2+ years building production ML and GenAI systems in BFSI. At Bajaj General Insurance, architecting a GenAI-powered KYC framework validating 5Cr+ customer records and built an STP claims classifier (75%+ AUC-ROC) that cut manual adjudication by 35% across 10+ business units.
Fluent in Python, SQL, and R, with hands-on experience across GenAI agent design, classification modelling, and cloud platforms including AWS, Snowflake, and Tableau.
Experience
Deputy Manager
Bajaj General Insurance
India
Architecting a GenAI-powered KYC framework validating 5Cr+ customer records, combining fuzzy matching, multi-field address decomposition and cross-record comparison, and a prompt-engineered GenAI adjudication agent (tuned decoding parameters, structured prompting), improving onboarding match success by 10% and reducing hallucinations.
Developed a GenAI-powered dual vehicle ownership detection model identifying low-risk, high-profitability customer segments, by analysing co-insured vehicle patterns, financial behaviour, and historical usage data in partnership with underwriting and product teams, uncovering 10,000+ pricing and retention opportunities annually — with Phase 2 extending the model to new customer segmentation and targeted outreach.
Assistant Manager
Bajaj General Insurance
India
Built a Customer Knowledge Repository consolidating policy, claims, financial behaviour, and demographic data from 5+ cross-team warehouses, by designing unified schemas in Python/SQL and automating data completeness assessments — reducing manual effort by 50% and improving KYC compliance accuracy by ~50%.
Delivered a Straight-Through Processing (STP) ML classification model for insurance claims, by engineering cross-domain features spanning financial, behavioural, demographic, and claims data with claims operations, achieving 75%+ AUC-ROC on validation — reducing manual adjudication by ~35% and cutting cycle time by ~24 hours.
Lab Assistant
Gillmore Centre for Financial Technology
United Kingdom
Built a real-time Fintech Index Dashboard with an integrated GenAI chatbot, by aggregating data from 8+ financial technology sources and embedding a conversational LLM interface for natural language querying, liaising with international and in-house research stakeholders, enabling 15+ researchers to extract insights 40% faster and replacing 3 manual reporting workflows.
Provided technical consulting and GenAI integration support to 20+ researchers and PhD students, by resolving data pipeline issues within 24 hours, implementing research algorithms in Python, and augmenting academic models with LLM-based result interpretation — engaging directly with faculty supervisors — achieving a 90%+ satisfaction rate and boosting productivity by 30%.
Education
Warwick Business School, University of Warwick
Master of Science of Business Analytics (MSBA)
Grade : Merit [2:1]
Bharati Vidyapeeth’s College of Engineering (BVCOE)
Bachelor of Technology
CGPA : 7.92
Skills
PythonSQLRGenAI AgentsLLMsOptimizationNLPLinear programmingData-driven decision-makingHeuristicsTableauGoogle Looker StudioPower BIAWSSagemakerOracle Data Science CloudSnowflakeAlteryxSAPExcel (Advanced)
ACADEMIC PROJECTS
Central Bank Speeches and Climate Change
Built and processed a corpus of 25,000+ central bank speeches (1997–2021) via automated web scraping and NLP preprocessing, then applied LLMs, sentiment analysis, and topic modelling to extract longitudinal trends in Green Central Banking and climate policy language, improving text analysis data quality by 30%.
Technical work contributed to a peer-reviewed publication in Climate and Development (Taylor & Francis) — delivering the end-to-end data pipeline and NLP/ML analysis underpinning the research findings.