About Me
Data Scientist at Deloitte
I'm a full-stack data scientist with 4 years of experience spanning data engineering, model development, statistical inference, and production deployment. At Deloitte, I've built ML systems serving federal agencies—from orchestrator agents that automate workflows to XGBoost models for financial auditing.
I work across the entire stack: PySpark and SQL for data pipelines, Python and R for modeling and statistical analysis, Docker/FastAPI for deployment, MLFlow for logging and experimenting models, and recently RAG and agentic AI architectures. Outside of work I enjoy cooking and trying out new recipes.
Experience
Data Scientist
Deloitte
February 2024 - Present
- Co-led a team of 5 engineers to develop a RAG agent and independently designed a statistical agent for Deloitte's Agentic AI service
- Deployed the first Production Grade ML model across financial workflows within the organization, reduced auditors workload
- Optimized an autoloader for efficient data ingestion and processing, saved $100+ cost in cluster cost
Associate Data Scientist
Censeo Consulting Group
May 2022 - January 2024
- Developed fraud detection model identifying $27M in recoverable funds across 10,000 FCC Emergency Connectivity Fund applicants and 900 service providers using a combination of statistical and ML methods
- Analyzed 150M rows of program data in PySpark to provide evidence supporting continuation of $14.2B broadband subsidy program serving 20M low-income Americans
- Built synthetic data pipeline using Mistral 7B and Python to generate privacy-preserving datasets, enabling public release of CFPB consumer complaints without exposing PII
Data Analyst Intern
Peace Corps
November 2021 - April 2022
- Built Tableau dashboard visualizing hiring pipeline attrition rates and diagnosed barriers for underrepresented groups
- Analyzed attrition data and presented findings to stakeholders informing Peace Corps' 5-year diversity hiring strategy
Skills & Tech Stack
Generative AI & LLMs
ML & Statistical Modeling
Data Engineering & Architecture
Cloud & MLOps
Certifications
Certifications validating my skills and knowledge
Quantum Fundamentals
Q-CTRL
Issued: April 11th, 2025
NVIDIA-Certified Professional: Accelerated Data Science
NVIDIA
Issued: February 16th, 2025
Building RAG Agents with LLMs
NVIDIA
Issued: October 25th, 2024
Getting Started with Deep Learning
NVIDIA
Issued: October 5th, 2024
Building Conversational AI Applications
NVIDIA
Issued: June 5th, 2024
Certificate: Generative AI Fundamentals
Ai+ Training
Issued: December 25th, 2023
Microsoft Certified: Azure AI Fundamentals
Microsoft
Issued: June 3rd, 2021