About
Data Scientist with 3.5 years of experience at ICICI Lombard GIC Ltd., focused on leveraging data-driven insights, automation, and expertise in motor insurance. Strong background in Machine Learning, Deep Learning, Computer Vision, and NLP, with advanced proficiency in Python, SQL and statistical modelling. Comprehensive understanding of insurance operations, policies, and industry-specific terminology, combined with expertise in qualitative and quantitative analysis. Proficient in data manipulation, exploratory data analysis, and visualization using tools like pandas, scikit-learn, matplotlib, as well as machine learning and statistical models. Highly skilled in Python, SQL, Excel, Databricks, Power BI, and Tableau, with a proven ability to deliver impactful solutions. Adept at solving complex challenges, driving projects to successful completion, and consistently delivering actionable results. Strong written and verbal communication skills, capable of presenting complex analyses in a clear and concise manner to diverse stakeholders.
Skills & Expertise (35)
Work Experience
Data Scientist
ICICI Lombard GIC Ltd.
Jul 2022 - Present
Developed a driving behavior score model using telematics data from CarIQ. Applied K-Means clustering and logistic regression to assess risk based on trip-level data. Identified a linear correlation between driving score and claim frequency, aiding in risk segmentation. Built an automated bot to validate No Claim Bonus (NCB) values for migrated customers. Automated email parsing and replies using Python and Outlook integration. Retrieved customer history from SQL databases, streamlining the NCB verification process. Designed a customer loyalty scoring model to identify and prioritize high-value policyholders. Implemented scoring logic based on historical behaviour that helps to targeting Privilege customers. Analysed loan data and socio-economic indicators at the pin code level to assess the risk associated with each region. Designed a risk scoring model for pin codes using Python and Random Forest Model. Automated manual pricing processes using Python, reducing dependency on repetitive Excel tasks. Developed a Streamlit web app to simplify complex pricing logic and support dynamic inputs. Utilized Azure Form Recognizer (OCR/ICR) to extract text from customer-submitted documents. Integrated GPT-4.0 to intelligently identify and populate relevant customer information. Improved operational efficiency by automating endorsement data entry workflows.
Education
M.Sc. Statistics - Indian Institute of Technology (Kanpur)
2020 - 2022 ยท Afghanistan
B.Sc. (Hons) Statistics - Banaras Hindu University (Varanasi)
2017 - 2020 ยท Afghanistan
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Skills (35)
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