AI & Data Analytics Specialist with Healthcare Focus

MAHENDRA POTLA

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

AI-enthusiast Data Analyst with M.S. Data Science (MTSU, GPA 3.67) and B.Tech in AI & Machine Learning. 1+ yr industry co-op delivering automated ETL pipelines, predictive dashboards, and statistical models that cut reporting time 40% and improved data accuracy 30%. Expert in SQL, Python, Power BI, and A/B testing; unique edge: building, interpreting, and communicating predictive models beyond standard querying. EHR-aware with applied clinical analytics on CMS datasets; familiar with value-based care KPIs and HIPAA-aligned reporting.

TECHNICAL SKILLS

Querying & Analysis: SQL (CTEs, Window Functions, Stored Procs), Python (Pandas, NumPy, SciPy), Excel (Power Query, Pivot Tables, Advanced Formulas)

Visualization & BI: Power BI (DAX, Row-Level Security, Automated Refresh), Tableau, Matplotlib, Seaborn Statistics & Testing: A/B Testing, Hypothesis Testing, Regression Analysis, Time Series Forecasting, Cohort Analysis, EDA, Statis- tical Modeling

AI/ML Edge: Scikit-learn, XGBoost, LightGBM, SHAP Explainability, Feature Engineering, Predictive Modeling, Anomaly Detection Platforms: Databricks, AWS (Cloud Foundations), Azure, Git/CI-CD, Jupyter Notebook, Agile/Scrum, JIRA Domain: Healthcare Analytics (EHR-aware, CMS, Value-Based Care, HIPAA), Financial Risk (Basel III), Marketing Attribution EXPERIENCE

Graduate Teaching Assistant - Data Science & Statistics Jan 2025 – May 2026 Middle Tennessee State University (MTSU), Murfreesboro, TN

• Built Python & Excel performance-tracking dashboards for 450+ students; applied KPI monitoring and trend analysis to flag at-risk cohorts, improving assignment completion rates across all sections.

• Translated graduate-level statistical modeling and ML concepts into applied Python/SQL labs for 3+ sections; managed grading, attendance, and reporting pipelines with zero data-integrity incidents over 3 semesters. Data Analyst Co-Op, ML Engineering & Deployment Jan 2023 – Feb 2024 Emglitz Technologies, Coimbatore, India

• Engineered Python (Pandas/NumPy) ETL pipelines cutting dataset inconsistencies ~30%; built multi-source Power BI dashboards reducing stakeholder reporting turnaround 40% via automated refresh.

• Developed regression & classification models automating 5+ hrs/week of manual reporting; deployed CNN-based real-time accident detection system from CCTV footage in Python/PyTorch, production AI solution.

• Established Git-based CI/CD pipelines for 4 production analytics workflows ensuring reproducibility, versioned deployments, and smooth cross-functional handoff.

Business Data Analyst Intern Mar 2022 – Dec 2022

Focus Edumatics Pvt Ltd, Coimbatore, India

• Built LightGBM enrollment forecast cutting weekly error 18% 9%; automated SQL pipelines and Power BI refreshes reducing report delivery time 55%.

• Scoped XGBoost churn model with SHAP explainability identifying top 5 churn drivers; built Markov chain ad attribution reports automating CRM/Google Ads ingestion, reducing manual reconciliation 70% and supporting ~$18K/month ad spend reallocation. PROJECTS

Healthcare: Hospital Readmission Risk Prediction Python, XGBoost, SMOTE, SQL, Power BI

• Modeled 30-day readmission risk on 100K+ CMS patient records; XGBoost + SMOTE achieved AUC-ROC 0.87, cutting false-negative rate 22% vs. logistic baseline, EHR-aware clinical analytics applied to value-based care KPIs.

• Built Power BI dashboard segmenting high-risk cohorts by department, payer, and diagnosis; surfaced top 5 readmission drivers via SHAP feature importance; SQL drift-monitoring queries for ongoing production tracking. Financial: Credit Risk Scoring & Fraud Detection Python, LightGBM, Isolation Forest, SHAP, SQL

• Engineered 20+ credit features on 250K+ LendingClub records; stacked LightGBM ensemble hit 91% precision; Isolation Forest flagged 3.2% high-risk transactions reducing false positives 18%; Basel III model card with SHAP explainability. AI Job Scraper & Market Intelligence Tool Python, BeautifulSoup, Selenium, LLM APIs - Vibe-coded

• Built AI-powered LinkedIn/job-board scraper using Python, Selenium, BeautifulSoup; integrated LLM APIs for automated keyword extraction, role categorization, and NLP-driven market trend summarization generating actionable dashboards. Crypto Algorithmic Trading Bot Python, Binance/Coinbase API, TA-Lib, Backtesting - Vibe-coded

• Developed automated crypto trading bot with technical indicator signals (RSI, MACD, Bollinger Bands), backtesting engine on historical OHLCV data, and live paper-trading execution, time-series analysis and real-time data pipelines. EDUCATION

M.S. in Data Science GPA: 3.67 Aug 2024 – May 2026 Middle Tennessee State University (MTSU), Murfreesboro, TN Coursework: Machine Learning, Statistical Modeling, Deep Learning, Big Data Analytics, Data Engineering, Applied AI B.Tech in Artificial Intelligence & Machine Learning GPA: 8.78/10 Jan 2020 - May 2024 Hindusthan College of Engineering and Technology, India CERTIFICATIONS

AWS Cloud Foundations Google: Foundations of Data, Data, Everywhere Databricks Lakehouse Fundamentals Data Ethics (Coursera)

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