At the IRS, I am focused on augmenting my AI/ML skills by leading projects that blend diverse data sources including structured and unstructured text. I create impactful data products and reproducible code for high performance compute and cloud environments. I am also an active collaborator, dedicated to empowering community engagement within my team.

Previously, I embraced my first fully remote role at Frontier Communications as a data engineer. There, I tackled the challenge of matching call center records to user accounts, automating critical reports using SQL, R, and C#.

Prior to that, as a Senior Associate at Cognizant working with Florida Power & Light, I dived into smart meter data to develop time-series features and build classification models for a critical revenue protection project.

My passion for data analytics was first ignited during an alloy analytics project with the National Energy Technology Lab (NETL), where I used R and Python to predict material properties. I am committed to continuous professional growth, having completed several certificates, and am currently finishing a specialized course in Generative AI.

• Frontier Communications Call center records matching project Report DS1
• Cognizant Technology, FP&L Smart meter time series classification project Report DS2
• NETL Alloy analytics project Report DS3

I was a teaching fellow for two years at the electrical engineering department and did a two year neuroimaging NIH fellowship.

My research work at University of Pittsburgh Slides, Thesis & PLOS Paper

Projects Sep2025-Jan2026:

1. Email Assistant: Project 1 Report
2. Research Proposal Assistant: Project 2 Report

Projects Nov2024-Mar2025:

1. Foundations: Food Delivery Report & Notebook
2. Clustering & Dim Reduction Report & Notebook
3. Recommendations for Users & products Report & Notebook

Achievements

• Google Scholar NK et.al.
• Neuroimaging Fellowship

Albert Einstein "Education is what remains after one has forgotten everything one learned in school."