Aneesh Chopra
I am an MBA student at XLRI Jamshedpur with over four years of agile startup experience in the BFSI and healthcare domains. I began my career as a data scientist, wearing multiple hats across various departments to build critical interim solutions that spanned from business intelligence dashboards to operational communication and collection systems. As the organization scaled, I transitioned into leading full-fledged process and product verticals, anchoring the creation of our Fraud, Waste, and Abuse (FWA) risk team and spearheading a cross-functional squad of data scientists and engineers to build Enigma.ai, an AI-native claims SaaS. Driven by a strong preference for dynamic challenges over monotonous work, I thrive in high-pressure startup environments where I can deliver rapid, high-impact solutions while deeply investing in process optimization and team mentorship. I believe that balancing a structured, analytical approach with a genuine focus on managing and empowering people is the cornerstone of effective leadership.
Work experience
57 months in total
- Bajaj Finserv Health Limited57 months
Career highlights
Senior Product Manager - Analytics, Bajaj Finserv Health Limited
- Spearheaded the product roadmap and end-to-end execution for an AI-native Claims Processing SaaS platform, scaling automated decisioning accuracy to 97.6% and driving auto-payment volume past ₹3.5 Crores monthly
- Designed and launched an enterprise-grade "Co-Pilot" workflow for claims adjusters
- Boosted overall operational productivity by 120% and slashed cost-per-claim (CPC) by 65% (Rs. 66 to Rs. 23.) while seamlessly absorbing a 100% surge in transaction volume.
- Engineered the platform’s front-end integration strategy, successfully presenting technical demos to enterprise clients, onboarding 2 major insurance providers, and capturing ₹50+ Lakhs in fresh ARR within year one.
Senior Data Scientist, Bajaj Finserv Health Limited
- Led the migration to a microservices and event-based architecture for claims automation, accelerating processing speed by 3x and increasing scalability 4x to handle 10,000 daily claims.
- Architected a document duplicity evaluation framework using advanced search algorithms to achieve 96% validation accuracy, intercepting ₹50 Lakh in fraudulent transactions.
- Set up a post-facto analysis framework on paid claims, recovering ₹2–5 Lakh monthly in leakage and crossing ₹1 Crore (Wallet Amount) by identifying and blocking proven high-risk policies.
Associate Data Scientist, Bajaj Finserv Health
- Engineered process automations and interactive Power BI dashboards, eliminating 400+ monthly manual hours across core operational teams.
- Architected the organization’s first comprehensive risk management dashboard, delivering real-time visibility on critical vulnerabilities directly to senior leadership and CXOs to accelerate strategic decision-making.
- Structured and deployed high-volume EMI tracking reports managing ₹1 Crore+ in monthly transactions, driving a 12% increase in bounce collections through improved data visibility.
Achievements
- 30 Under 30 - Bajaj Finserv Group (8 Companies)
- Sharp Shark (Quaterly) x 2
- Shark Tank - 2nd Prize (Annual)
Certifications
- Data Analyst Nanodegree
- Lean Six Sigma - White Belt
- Python Intermediate Level - Dataquest.io
