Data Scientist with over four and half years specializing in data acquisition, automation, and real-time analytics. Experienced in building Tableau dashboards, ETL pipelines, web scraping infrastructure, cloud data systems, and Python-based validation frameworks. Proficient in orchestrating data pipelines using CI/CD tools and processing data from APIs and structured sources. Track record of turning complex data into actionable insights through AWS, scalable automation, cross-functional leadership, and agile methodologies.
Experience
Data Scientist (Senior Consultant) | September 13, 2021 - Present
- Led end-to-end design of a scalable Tableau reporting system that consolidated disconnected data sources into standardized dashboards, reducing manual reporting burden and accelerating decision-making
- Optimized data pipelines by replacing static Splunk lookups with AWS DB Connect queries, enabling real-time monitoring and saving 9+ weeks of analyst capacity annually
- Built a Jupyter Notebook validation framework to cross-check multiple Excel workbooks, enabling automated data tracking across quarterly data cycles
- Extended a CI/CD pipeline to automate provisioning of 20+ PySpark and Python packages across an AWS EMR platform, reducing environment setup time and unblocking beta users
from platform access
- Built a Python automation pipeline for backing into a triangular inverse distribution that reduced report generation from 3 days to 30 minutes (48x faster)
- Improved an existing data pipeline by utilizing PyTesseract and OpenCV to pull data from 1000+ PDFs per month, reducing analysis time by 90% — from 2 weeks to 1 day
- Developed and deployed four computer vision models onto an AWS EC2 for safety analysis demo, achieving 95% detection accuracy
Data Analytics Intern | May 18, 2020 - August 26, 2020 | Arlington, VA
- Designed and implemented unified data schema in Snowflake, enabling cross-project querying and analysis for 10+ concurrent projects
- Led integration of USASpending.gov data into Snowflake infrastructure, creating scalable ETL pipeline for federal spending transparency
Product Development Intern | June 01, 2019 - August 28, 2019 | Arlington, VA
- Led team of 4 interns in researching and authoring comprehensive white paper on product management best practices, delivered to enterprise clients
- Implemented agile methodologies across product development cycles, improving sprint velocity by establishing clear acceptance criteria and task estimation
Certifications
Virginia Tech
B.S. Business Information Technology | August 28, 2017 - May 16, 2021
Concentration: Computer Based Decision Support Systems