Rithwik Gunti
Experienced Data engineer | Expertise in Statistical Modeling, Data Visualization (Tableau, Power BI), SQL, AWS | Driving Data-Driven Insights & Process Optimization
- Role
- Data Engineer at Liberty Mutual Insurance
- Location
- Memphis, TN, US
- LinkedIn followers
- 500 followers
About Rithwik Gunti
Data Engineer with around 4 years of experience in designing, building, and optimizing…
Experience
Data Engineer
Jan 2024 — Present · TN, US
Architected and managed large-scale data pipelines handling 5M+ policyholder and claims records using SQL, Python (Pandas, NumPy), and Apache Spark, optimizing fraud detection workflows and lowering false claim rates by 18%. Developed and automated ETL pipelines for cross-functional analytics, leveraging Snowflake, Azure Data Factory, and SQL to replace manual data aggregation processes, reducing report turnaround time by 40% and improving consistency. Engineered a scalable data orchestration framework using Apache Airflow and DBT, automating complex ingestion workflows, reducing failures by 55%, and enhancing processing speed across multiple business units. Designed and deployed machine learning models for predictive analytics in Scikit-learn and Azure ML, accurately identifying early churn indicators and enabling engagement strategies, increasing policy renewals by 12%. Developed a real-time fraud detection solution using LSTM-based time-series modeling, proactively detecting suspicious claims and preventing $2.3M in unauthorized payouts annually by blocking fraudulent transactions before disbursement. Enhanced actuarial pricing strategies through A/B testing of premium models in SQL and R, refining risk-based segmentation and increasing pricing accuracy by 8%, leading to improved profitability and competitive advantage. Established enterprise-wide data governance frameworks with enhanced encryption protocols, role- based access controls, and compliance automation, reducing audit readiness time by 30% while mitigating regulatory risks. Optimized Snowflake query execution strategies by implementing advanced indexing, result caching, and performance tuning techniques, improving data retrieval efficiency and accelerating real-time business insights by 45%.
Education
University of Memphis
Master's degree, Computer Science
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