Results-driven analytics professional with a proven track record at Reliance General Insurance, skilled in predictive modeling and data analysis techniques. Adept at leveraging Python and Power BI to deliver actionable insights, enhance underwriting strategies, and improve campaign effectiveness by 20%. Strong leadership abilities complement a commitment to process improvement and data-driven decision-making.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Manager
Icici Lombard
Mumbai
06.2025 - Current
Conduct secondary research using reliable web sources, government databases, and public domain data.
Download, clean, and organize data using Excel and Word for usable insights.
Collate and analyze data from multiple sources to identify patterns, trends, and business insights.
Prepare structured and detailed reports, presentations, and briefing documents for internal consulting teams.
Deputy Manager
Reliance General Insurance
Mumbai
05.2024 - 06.2025
Developed a comprehensive add-on attachment report using Python to analyze and track insurance policy-level add-ons. This involved collaborating with cross-functional stakeholders to collect requirements, and ensure alignment with business goals.
Extracted budget vs. Actuals data from QlikView was cleaned and transformed using advanced Excel functions (LOOKUPs, IF statements, dynamic ranges, and pivot tables), and insightful Power BI dashboards were built for real-time tracking and executive reporting.
Designed and implemented a predictive analytics model using the Generalized Linear Model (GLM) to estimate expected frequency and severity in the sourcing report. Applied Weight of Evidence (WOE) and Information Value (IV) techniques for feature transformation and selection to improve model interpretability and performance.
Segregated and analysed add-on components (e.g., engine protector, consumables cover, zero depreciation) within the Add-on Attachment report to identify profitability trends and optimise underwriting decisions.
Calculated the earned premium from specific add-ons based on coverage duration, endorsement status, and premium apportionment logic, providing actionable insights into add-on level performance and contribution to overall GWP.
Enabled data-driven underwriting by creating segment-level reports to identify loss-prone add-ons, and recommend pricing strategies accordingly.
Analyst
Eclerx Services Ltd
Mumbai
03.2023 - 05.2024
Conducted customer segmentation analysis using clustering techniques to identify high-value groups for targeted marketing campaigns.
Analyzed structured and unstructured data sources to derive insights on customer sentiment and service gaps.
Leveraged Excel, Power BI, and SQL to build dynamic dashboards supporting stakeholder decision-making.
Developed KPIs to track customer churn, engagement, and conversion rates, enhancing retention strategies.
Collaborated with cross-functional teams to align analytical solutions with business objectives, improving campaign effectiveness by 20%.
Delivered monthly analytical reports to leadership, refining strategies and enhancing ROI based on insights.
Education
Master Of Business Administration - Data Science
Manipal University
Jaipur
09-2025
Bachelor Of Science - I.T
Tolani College of Commerce
Mumbai
01.2022
Skills
Risk management strategies
Cost analysis and insights
Data analysis techniques
Process improvement initiatives
Business planning and forecasting
Report writing and presentation
Leadership and team management
Python programming
SQL database management
Power BI visualization
Customer segmentation
Predictive modeling
Machine learning
Statistical reporting
Certification
Microsoft Certified: Power BI Data Analyst Associate
Received the certification of appreciation from eClerx, the business special award for the year 23-24 received from eClerx
Extracurricular Activities
Leaded the rotract club in the 2nd year of BSC (I.T) Participated in the administrative of the eClerx for hiring new people in the organization with the innovative idea