Akshith Akkaladevi
Data Analyst @PNC
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WORK HISTORY
Data Analyst @PNC
US
Led the development of AI-assisted risk scoring models using Python (Pandas, Scikit-Learn) and advanced SQL queries to analyze underwriting and claims datasets, improving risk selection accuracy and reducing claim leakage by 18%.Built interactive Power BI and Tableau dashboards for 8+ business units, integrating data from Snowflake and SQL Server to deliver real-time insights into underwriting performance and operational KPIs, reducing manual reporting cycles by 55%.Performed advanced data analysis using SQL and Python on large financial datasets to identify trends and anomalies, supporting strategic decision-making across multiple departments.Implemented K-Means clustering models to segment customers and identify cross-sell opportunities, increasing product attachment rates by 22%.Designed and optimized ETL pipelines using Snowflake, SQL Server, and AWS (S3, Redshift, Glue), improving data processing efficiency by 30% and reducing reporting errors by 32%.Conducted statistical analysis (regression, ANOVA, forecasting) to evaluate pricing and retention trends, helping improve renewal rates by 12%.Collaborated with actuarial, product, and engineering teams in Agile environments to translate complex data into actionable insights supporting multi-million-dollar financial portfolios.
EDUCATION
Wilmington University
Master's Degree, Information Technology
ABOUT AKSHITH AKKALADEVI
Data Analyst with 4+ years of experience transforming complex data into actionable insights across fintech, SaaS, and enterprise environments. I specialize in SQL, Python, and BI tools like Power BI and Tableau to build scalable analytics solutions that drive business decisions. In my current role, I develop AI-assisted risk models, design interactive dashboards, and optimize ETL pipelines helping improve operational efficiency, reduce reporting time, and increase revenue opportunities. I have hands-on experience with predictive modeling, customer segmentation, A/B testing, and statistical analysis to solve real-world business problems. I’m passionate about turning data into meaningful stories and collaborating with cross-functional teams to deliver measurable impact. Core Skills: • SQL | Python (Pandas, NumPy, Scikit-learn)| R • Power BI | Tableau | Data Visualization • Machine Learning & Predictive Analytics • ETL Pipelines | Snowflake | AWS | Azure • A/B Testing | Statistical Analysis | Forecasting I’m currently open to Data Analyst opportunities where I can leverage data to drive strategic decisions and business growth.
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