I'm Prathusha, a Data Analyst with 5+ years of experience across Banking and Healthcare analytics. I specialize in SQL query development, financial data reconciliation, ETL pipeline design, and business intelligence reporting for enterprise financial and clinical systems.
- π Expert in SQL (Snowflake, Amazon Redshift, SQL Server, Oracle, Databricks), Python (Pandas, NumPy, Scikit-learn, XGBoost), Power BI (DAX, Power Query, RLS), and Tableau
- π Delivered scalable dashboards & automated reports for 20+ senior stakeholders
- π Measurable impact: cut manual reporting effort by 40%, improved SQL performance by 65%, boosted ML targeting accuracy by 30%
- π€ Skilled in Agile delivery with Git, JIRA, Confluence & SharePoint β partnering across Finance, Operations, Compliance & Data Engineering
- π€ Hands-on with Generative AI (ChatGPT, Microsoft Copilot) & prompt engineering to accelerate analytics workflows
- π M.S. in Computer Science, Montclair State University, New Jersey
|
Banking Β· Credit Risk Analyzes loan applications using ML and Gemini AI to predict approval probability, explain decisions, compute key banking KPIs, simulate scenarios, and export PDF/CSV reports for loan officers.
|
Banking Β· Data Quality Detects missing, duplicate, and mismatched banking records using SQL and Python, with automated validation rules and interactive dashboards for reconciliation insights.
|
|
Banking Β· NLP Analyzes banking customer complaints using NLP, sentiment analysis, and A/B testing to uncover trends, improve communication, and measure engagement outcomes.
|
Healthcare Β· Analytics Tracks pharmacy claims, predicts medication adherence, and uses A/B testing to evaluate intervention strategies through interactive dashboards and predictive analytics.
|
| Focus Area | Role | Duration |
|---|---|---|
| Banking β core banking, Snowflake, Redshift, Databricks | Data Analyst | Aug 2024 β Present |
| Retail & Commercial Banking β SQL Server, Oracle, ETL | Data Analyst | Sep 2021 β Aug 2023 |
| Healthcare β claims, HEDIS, CMS Star Ratings | Data Analyst | Mar 2020 β Sep 2021 |
Highlights across these roles: designed Power BI dashboards for 20+ stakeholders, cut manual reporting effort by up to 40%, improved SQL query performance by 65%, and boosted ML targeting accuracy by 30% through credit risk, fraud, and churn models.
M.S. in Computer Science β Montclair State University, New Jersey Β· Aug 2023 β May 2025