Data Science Analyst and Problem Solver with OPT eligible status

Mahendra Potla

Murfreesboro, TN *************@*****.*** 931-***-**** linkedin.com/in/mahendrapotla github.com/Mp9Z

Summary

Data Science graduate with hands-on analytics, ML, and dashboarding experience, delivering measurable impact across healthcare, finance, and academic operations. Skilled in building scalable, insight-driven data workflows that improve accuracy, accelerate reporting, and drive transformative, outcome-focused decision-making across cross-functional teams. Education

Middle Tennessee State University (MTSU) Murfreesboro, TN M.S. in Data Science — GPA: 3.67 Aug 2024 – May 2026 Hindusthan College of Engineering and Technology India B.Tech in Artificial Intelligence & Machine Learning — GPA: 8.78 Jan 2020 – May 2024 Technical Skills

Languages & Querying: Python (Pandas, NumPy, Scikit-learn), SQL (Advanced), Bash Machine Learning: Regression, Classification, Clustering, Time Series, Deep Learning (CNN, PyTorch) Analysis & Statistics: EDA, Hypothesis Testing, A/B Testing, Forecasting, Statistical Modeling Visualization: Power BI, Matplotlib, Excel (Advanced), Tableau Tools & Platforms: Git, Jupyter Notebook, AWS Cloud Foundations, Databricks, Azure Experience

Graduate Teaching Assistant — Data Science & Statistics Murfreesboro, TN Middle Tennessee State University Jan 2025 – May 2026

• Supported 450+ undergraduates across Linear Algebra, Statistics, and data analysis bridged theory to applied Python/SQL practice.

• Built Python and Excel performance-tracking systems across course sections; identified at-risk students early, contributing to a measurable improvement in assignment completion rates.

• Managed academic data workflows (grading, attendance, reporting) for multiple sections ensuring data integrity and timely reporting.

Data Analyst Co-Op Coimbatore, India

Emglitz Technologies Jan 2023 – Feb 2024

• Designed Python (Pandas, NumPy) data-cleaning pipelines that cut dataset inconsistencies by 30%, improving downstream analysis accuracy.

• Built and maintained Power BI dashboards pulling from multiple data sources, reducing stakeholder reporting time by 40%.

• Developed regression and classification predictive models and automated repetitive reporting workflows.

• Built a CNN-based accident detection system using CCTV footage in Python, enabling real-time road-safety alerting for operational teams.

• Established Git-based CI/CD pipelines for version control and smooth deployment of analytics scripts. Projects

Hospital Readmission Risk Prediction

Python, XGBoost, Scikit-learn, SQL, Power BI Healthcare Analytics

• Modeled 30-day readmission risk on 100K+ CMS patient records using XGBoost with SMOTE; achieved AUC-ROC of 0.87 and cut false-negative rate by 22% vs. logistic regression baseline.

• Built a Power BI dashboard for hospital administrators to monitor high-risk cohorts by department and payer, aligned with HCA’s value-based care KPIs; surfaced top 5 clinical readmission drivers via feature importance. Credit Risk Scoring & Fraud Anomaly Detection

Python, LightGBM, Isolation Forest, SHAP, SQL Financial Analytics

• Engineered 20+ features on 250K+ LendingClub loan records; stacked LightGBM + Logistic Regression ensemble achieved 91% precision; applied SHAP for model explainability meeting governance standards.

• Layered Isolation Forest fraud detector flagging 3.2% high-risk transactions, reducing false positives 18% vs. rules-based approach; delivered Basel III-aligned model card with SQL drift-monitoring queries. Real Estate & Short-Term Rental Market Analytics

Python, Pandas, Scikit-learn, Power BI, Feature Engineering Pricing & Market Intelligence

• Combined Melbourne housing and Airbnb datasets to model property pricing and short-term rental revenue; engineered location, seasonality, and amenity features across 80K+ listings.

• Applied regression models with cross-validation for price prediction and occupancy forecasting; built interactive dashboards visualizing revenue drivers, listing trends, and suburban price differentials. Certifications

AWS Cloud Foundations Google Foundations: Data, Data, Everywhere DataBricks Fundation Data Ethics

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