Vishnu Bharath Aekasi
Data, Business & BI Analyst | Power BI | Tableau | SQL | Python | Data Analysis | Data visualization |
- Role
- Data Analyst at Credit Acceptance
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Vishnu Bharath Aekasi
Senior AI Engineer | GenAI Architect | Agentic AI | LLMs | RAG | AWS | Azure With 11+…
Experience
Data Analyst
Aug 2024 — Present
Utilizing SQL, Python, Power BI, Excel, and SAS, this project focuses on predicting customer default probabilities, monitoring loan performance, and enhancing risk management strategies.Key Responsibilities & Achievements: Data Extraction & Preprocessing: Retrieved customer, loan performance, and credit bureau data from relational databases using SQL for in-depth analysis. Exploratory Data Analysis (EDA): Used Python (Pandas, Matplotlib, Seaborn) and Excel to uncover trends in repayment behavior, delinquency rates, and credit risk factors. Predictive Modeling: Built risk assessment models using Python (Scikit-learn) and SAS to estimate customer default probabilities based on credit scores, income levels, and financial history. Loan Portfolio Performance Analysis: Evaluated key risk metrics (delinquency rates, charge-off rates, recovery rates) to assess portfolio health and optimize lending decisions. BI Dashboard Development: Created interactive Power BI dashboards to visualize portfolio performance, risk trends, and predictive insights, empowering stakeholders with real-time data. Advanced Reporting: Generated detailed reports in Excel summarizing key metrics, trends, and actionable recommendations for senior management. Risk Management Collaboration: Partnered with the risk management team to validate models, refine strategies, and align insights with business objectives. Stakeholder Communication: Presented data-driven insights and predictive trends through Power BI dashboards and executive reports, ensuring clarity and strategic impact. Regulatory Compliance & Reporting: Leveraged SAS for regulatory reporting and advanced statistical analysis, ensuring adherence to financial regulations and internal policies.
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