Case studies

Research, systems and analytics work with measurable outcomes.

A deeper look at the projects, internships and leadership work represented in the portfolio. Each case study is grounded in the supplied résumé details and organized around problem framing, approach and outcomes.

Selected research

An award-winning forecasting framework built to generalize across pathogen types without disease-specific training data.

Architected and validated a scalable deep learning time series forecasting framework using PyTorch and transfer learning, then stress-tested its assumptions and reliability under data shift.

PyTorch
Transfer Learning
Time Series Modeling
Statistical Validation

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Selected project

Predictive analytics and reinforcement learning for more efficient food allocation across institutions.

Built predictive models using logistic regression, NLP and reinforcement learning, then paired them with ETL design and forecasting logic to improve allocation decisions.

Logistic Regression
NLP
Reinforcement Learning
Econometric Forecasting

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Selected project

A real-time anomaly detection and alerting system built for safety-critical monitoring in rural households.

Built a real-time statistical anomaly detection system with Azure IoT integration, threshold-based risk logic and automated multi-channel alerts.

Azure IoT
Anomaly Detection
Statistical Thresholding
Cloud Integration

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Professional experience

Model development, validation and comparative benchmarking for classification and regression workflows.

Designed, trained and validated end-to-end ML models using scikit-learn and PyTorch, then benchmarked them against baselines with AUC-ROC, F1-score and RMSE.

scikit-learn
PyTorch
AUC-ROC
F1-score

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Professional experience

Automated ETL pipelines, embedded validation checks and faster reporting on large operational datasets.

Engineered Python ETL pipelines with data-quality validation and anomaly checks, then optimized SQL queries to improve reporting speed and reliability.

Python
SQL
ETL Pipelines
Data Quality Validation

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Leadership & community

Technical workshops, mentorship and ecosystem building around ML, GenAI and statistical modeling.

Delivered technical workshops on ML, generative AI and statistics while mentoring students in Python, R and model evaluation.

Python
R
Model Evaluation
Workshops

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