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Anshuman Sahu
Pune
Work Preference
Summary
Senior Data Analyst with 5+ years of experience in BFSI and insurance analytics, specializing in Python, SQL, Power BI, and Azure data platforms. Proven expertise in predictive modeling, ETL pipelines, fraud detection, and statistical analysis to drive operational efficiency and cost savings. Strong background in handling large-scale datasets, building automated dashboards, and delivering actionable insights for business and stakeholder decision-making.
Overview
4
4
years of professional experience
Work History
Senior Data Analyst
Voya India
03.2024 - Current
- Predictive Modeling: Developed Python/SAS models to automate claims adjudication, reducing processing time by 35% and improving payout accuracy by 22%. Identified high-risk policyholders, cutting fraudulent claims by 18%.
- Data Pipelines: Built automated pipelines (Alteryx, Azure Data Factory) integrating 20+ data sources (CRM, IoT), reducing manual errors by 50% and accelerating reporting by 40%.
- Dashboarding: Designed Power BI dashboards to track policy lapses, enabling a 15% reduction in lapsed policies via targeted campaigns. Used Azure Synapse for real-time risk analysis.
- Cost Savings: Applied hypothesis testing to refine reserve estimates, saving $1.2M annually
Data Analyst
Cognizant
09.2021 - 03.2024
- Data Analysis: Analyzed 10M+ transactional records using SQL/Python, improving reconciliation accuracy by 27% and saving 15 hours/month via automated reports.
- ETL Optimization: Consolidated data from 12+ banking systems (Alteryx, Azure), reducing processing time by 35% and ensuring 99.9% accuracy in compliance reports.
- ROI Improvement: Built Power BI dashboards for portfolio tracking, leading to a 12% higher annual ROI.
- Developed Python scripts to clean and validate data, reducing QA time by 30%.
Education
Bachelor of Technology - Computer Science and Engineering
Amity University
Gwalior, India06.2021
Skills
- Python
- Pandas
- SQL
- SAS
- ETL
- Alteryx
- Azure Data Bricks
- Synapse Analytics
- Google Big Query
- Regression
- Hypothesis Testing
- Predictive Modeling
- Time series Forecasting
- A/B Testing
- Power BI
- Tableau
- Excel
- VLOOKUP
- Pivot Tables
- Dynamic Graphs
- Hive
- Hadoop
- Storytelling with Data
- Stakeholder Collaboration
- Problem-Solving
Disclaimer
The information given above is true to the best of knowledge.
Accomplishments
- Supervised team of 10staff members.
- Documented and resolved claims adjudication and data quality issues using Python and SAS models, leading to a 35% reduction in processing time and a 22% improvement in payout accuracy.
- Achieved 18% reduction in fraudulent claims by effectively helping with risk profiling, predictive modeling,and identification of high-risk policyholders.
- Achieved 40% faster reporting and 50% fewer manual errors by introducing Alteryx and Azure Data Factory for automated ETL and data integration tasks across 20+ data sources.
Work Availability
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Timeline
Senior Data Analyst
Voya India
03.2024 - Current
Data Analyst
Cognizant
09.2021 - 03.2024
Bachelor of Technology - Computer Science and Engineering
Amity University