Abhik Pal
AVP, Insurance Analytics
Pune
Summary
Data Scientist and Analytics Consultant with extensive experience in developing analytics solutions and leading cross-functional teams. Delivered impactful strategies for insurance and retail clients across multiple geographies, optimizing financial performance through analytical problem-solving. Focused on driving organizational growth and operational improvements.
Overview
1
1
Language
2
2
Certifications
23
23
years of professional experience
Work History
ASSISTANT VICE PRESIDENT, ANALYTICS
EXL
11.2021 - Current
- Offshore analytics delivery lead for an Australia-based client to implement an EXL internal solution for automating the insurance audit process which led to significant reductions in errors and TAT. The project led to huge customer appreciation and helped us get new clients in other geographies
- Coordinated offshore delivery for multiple insurance analytics transformation projects, achieving enhanced accuracy and turnaround time, including:
- Premium Default Reduction through Predictive Modeling
- Customer Retention strategy through churn model and customer segmentation
- Customer Churn/ Retention Analytics: AI-ML models to identify customers more likely to churn and help prioritise those customers for retention strategies
- Managed and drove analytics proof of concepts for various clients, supporting pre-sales team on RFPs for insurance analytics opportunities and solutions.
- Highlighted major projects
- SmartAudit Solution (Machine learning / NLP based solution for automating an insurance audit process)
- Default Prediction Models (Predictive models which predict the likelihood of a policyholder defaulting on premium payment)
- Customer Churn/ Retention Analytics: AI-ML models to identify customers more likely to churn and help prioritize those customers for retention strategies
- Cross Sell/Upsell Analytics: Customer segmentation to identify the target groups for upselling and cross-selling key premium products in the portfolio.
PRINCIPAL CONSULTANT, INSURANCE ANALYTICS
Infosys
01.2019 - 11.2021
- Led offshore analytics delivery for insurance clients, driving repeat business and earning customer appreciation.
- Directed R and D team in developing insurance analytics solutions, supporting pre-sales and sales teams for RFPs related to Infosys internal solutions.
- Key Projects :
- Insurance Fraud Analytics (An integrated framework of unsupervised and supervised fraud models detecting fraud in an insurance company)
- Telematics Analytics (Machine learning based models for calculating driver performance and insurance premiums)
- Insurance Contact Centre Analytics (An integrated framework for an insurance contact centre including chatbots, intelligent routing and workforce management)
- Service Now Analytics ( An NLP based framework for deriving rich insights using advanced analytics techniques like topic modeling and word clouds as some key outputs)
- Developed multi touch attribution models using advanced analytics techniques to assess impact on insurance product sales.
SENIOR MANAGER, ANALYTICS
Tata Consultancy Services
10.2013 - 01.2019
- Led a team of 15 to build a predictive analytics model that saved $ 2M in operational costs. Leadership and work received appreciation from LATAM head of the client organization
- Built and led R and D team to create a machine learning-based insurance premium prediction model using automobile telematics data, implemented for Canadian client, enhancing customer mix and enabling more accurate premium assessments.
- Led insurance analytics solutions team to design and implement innovative analytics solutions, driving client engagement and satisfaction.
- Driver Scoring Models for Auto Insurance (Machine learning based models to score and rank drivers for an auto insurance client)
- Pune, India /October 2013 –Jan 2015 and June 2018 -Jan 2019
- Peterborough, United Kingdom /Jan 2015 –Jan 2017
- On site analytics lead and analytics consultant for a large UK based pension fund provider client
- Key Project:
- Forecasting framework for predicting call patterns (A robust framework with twenty interlinked forecasting models was developed which had focused models for different customer segments and capability to link the customer engagement journey to the call pattern using an innovative “ pivot events analysis” approach. The models vastly improved the accuracy of the forecasts from about 70% to well over 95% leading to huge reduction in operational costs)
- Mexico City, Mexico /Jan 2017 –June 2018
- Served as on-site lead for insurance analytics for a life insurance client in Mexico, overseeing multiple analytics initiatives.
- Claims Process Automation (Machine learning models to automate claim adjudication process)
- Claim Volume forecasting: A framework of predictive models to help predict the claim volumes and support the operations team with workforce management
- Insurance Fraud Detection Models (A set of automated rule based models to detect potential fraud cases)
SENIOR MANAGER, MARKETING ANALYTICS
AbsolutData
10.2011 - 10.2013
- Led a team of data scientists to build forecasting models for retail customers, identifying key drivers of product sales and guiding future marketing strategies.
- Key Projects :
- Developed market mix analytics using machine learning and regression models to identify sales drivers, elasticities, and returns on investment (ROI).
- Market Mix Analytics (Machine learning and regression based models to identify sales drivers, elasticities and returns on investment (ROI))
MANAGER, CATASTROPHE RISK MODELING UNIT
Genpact
10.2003 - 10.2011
- Led a team of 30 to analyse property insurance data in catastrophe risk model and provide consultancy support to underwriters during renewals
- Led the R and D teams which worked on projects related to understanding, enhancing, benchmarking and developing catastrophe risk models for various catastrophes such as hurricanes, tornadoes, earthquake, flood etc
- Led process improvement initiatives, including auto trigger tool, to automate client exposure data reports, enabling overnight report generation and reducing turnaround time during critical renewal season.
- Key Projects :
- Insurance Conditions Project (De-coded the financial module of the industry standard catastrophe risk models and benchmarked against the client’s internal models with comprehensive documentation of the comparison)
- India Flood Model (Built from scratch a macro level model for predicting property insurance losses in different parts of India)
- Developed Auto Trigger Database Project to automatically generate comprehensive exposure summary reports without manual intervention, facilitating timely value-add analysis under tight deadlines and improving report quality. Certified as a Green Belt project.
- Created Property Insurance Analytics offering, addressing pre and post modeling steps of catastrophe risk modeling, assisting clients in making informed pricing decisions through exposure and loss analysis and risk premium calculations.
JUNIOR ECONOMIST, MARKET RESEARCH AND ANALYTICS
The Corporate Profiles
07.2003 - 01.2004
- Conducted primary and secondary research across industry sectors to prepare reports that informed strategic investment decisions.
- Developed industry research reports that guided business decisions for clients based on comprehensive primary and secondary research.
- Key Project :
- Analysis of the Laminated Glass Industry in India (Detailed report on the laminated glass industry in India
Education
Master - Economics
Delhi School of Economics
New DelhiBachelor - Economics
Delhi University
New DelhiSkills
Domain: Insurance (Life and Health, Property , Auto), Catastrophic Risk Modeling, Marketing Analytics
Programming Languages : Python, MATLAB, C
Microsoft Office expertise
Insurance and analytics
RMS and AIR models
Stakeholder Engagement
Cross-Functional Collaboration
Strategic Leadership
Issue resolution
Collaboration (Excellent)
English communication skills
Data-Driven Decision Making
Analytical Problem Solving
Client Relationship Management
Certification
Associate of Re-Insurance certified from AICPCU
Timeline
ASSISTANT VICE PRESIDENT, ANALYTICS
EXL
11.2021 - Current
PRINCIPAL CONSULTANT, INSURANCE ANALYTICS
Infosys
01.2019 - 11.2021
SENIOR MANAGER, ANALYTICS
Tata Consultancy Services
10.2013 - 01.2019
SENIOR MANAGER, MARKETING ANALYTICS
AbsolutData
10.2011 - 10.2013
MANAGER, CATASTROPHE RISK MODELING UNIT
Genpact
10.2003 - 10.2011
JUNIOR ECONOMIST, MARKET RESEARCH AND ANALYTICS
The Corporate Profiles
07.2003 - 01.2004
Bachelor - Economics
Delhi University
Master - Economics
Delhi School of Economics