Projects

Unmeasured Spatial Risk in Disease Modeling
A Topological Data Analysis Approach

Oak Ridge National Laboratory & University of Tennessee, USA
Topological Data Analysis, Bayesian Hirachical Modeling, MCMC, NUTS, PyMC

Identifying Spatiotemporal Patterns in Opioid Vulnerability
A Spatial Kalman Filter Approach

Published Research (BMC Public Health 2026)
Kalman Filtering, Spatiotemporal Modeling, Geospatial Analysis

A Geospatial Study of Opioid Overdose Risk
Topological Data Analysis + Deep Learning

Published Research (IJPDS 2024)
Topological Data Analysis, Persistence Images, SE-ResNet, PyTorch

Tampering & Sound-Based IoT Framework
Real-Time Steel Cargo Theft Detection

Research (AHEAD ICE Grant)
IoT, Embedded Systems, Deep Learning, Audio Classification

Marketing Mix Modeling
A Study of Confounding and Experimental Calibration

Independent Research - University of Tennessee
Bayesian MMM, Causal Inference, PyMC-Marketing, Synthetic Data

Unsupervised Leaf Vein Segmentation
W-Net for Plant Phenotyping

Deep Learning - University of Tennessee
W-Net, Unsupervised Segmentation, PyTorch

Spatial-TDA
A Python Package for Geospatial Topological Data Analysis

Open-Source Python Package
PyPI, conda-forge, GeoPandas, Gudhi, Persistent Homology

Segmenting and Classifying Clinical Notes
NLP + Topological Data Analysis on MIMIC-III

Data Engineering - University of Tennessee
BioClinicalBERT, Doc2Vec, TF-IDF, Mapper (TDA), Hierarchical Clustering

Automatic Bird Sound Identification
Deep Learning & Transfer Learning on 397 Species

MSc Independent Project - University of Peradeniya, Sri Lanka
ResNet Transfer Learning, Mel-Spectrograms

Technical Skills

Languages

R Python SQL Spark C/C++ Java

Statistics & Methods

Marketing Mix Modeling Causal Inference Regression Bayesian Hierarchical & Spatial Modeling Mixed-Effects Models Machine Learning MCMC Deep Learning NLP LLMs Operations Research Topological Data Analysis

Data & Databases

SQL & Relational Databases Data Extraction / ETL Data Cleaning & QA REST / Web APIs Spark

Dashboards & Visualization

Shiny Tableau Looker (Data Studio) React

Frameworks & Tools

PyTorch TensorFlow scikit-learn RStudio Git GCP AWS Slurm Docker PySpark

Interests

Marketing Mix Modeling Causal Inference Bayesian Modeling Machine Learning & Deep Learning Spatial Statistics Topological Data Analysis NLP & Large Language Models Healthcare & Public Health High-Performance Computing

Research

Unmeasured Spatial Risk in Disease Modeling A Topological Data Analysis Approach

Identifying Spatiotemporal Patterns in Opioid Vulnerability A Spatial Kalman Filter Approach

A Geospatial Study of Opioid Overdose Risk Topological Data Analysis + Deep Learning

Tampering & Sound-Based IoT Framework Real-Time Steel Cargo Theft Detection

Marketing Mix Modeling A Study of Confounding and Experimental Calibration

Unsupervised Leaf Vein Segmentation W-Net for Plant Phenotyping

Spatial-TDA A Python Package for Geospatial Topological Data Analysis

Segmenting and Classifying Clinical Notes NLP + Topological Data Analysis on MIMIC-III

Automatic Bird Sound Identification Deep Learning & Transfer Learning on 397 Species