Hello! I am a data scientist with a passion for solving complex problems using data and software engineering.
I have applied data science using Python, Airflow, and SQL to work directly with stakeholders to drive impactful analyses and build tools to accelerate time to insight.
My journey has led me to conduct genomics research at Yale Medical School, natural language processing research at Yale Computer Science, and now work as a Data Scientist at Niantic, Inc.
March 2022 - Present
Automated data quality assurance checks in our data pipeline infrastructure
Created a new data pipeline for reporting mobile application crash data
Improved code modules with refactoring, error-catching, and documentation
Senior Data Science Consultant
September 2020 - March 2022
Built a Django-based tool to inject and extract information from a client's database and website
Built a contract aggregation tool to enable a pharma client to drive throughput for their sales team
Conducted A/B testing to build a machine learning model to personalize customer offer strategy
Led end-to-end development of a novel pricing tool for a manufacturing client
Data Analyst Intern
Added a company to coverage by tagging a large card transaction data set in SQL
Backtested revenue predictions with the data and used Tableau to visualize results
Software Engineering Intern
Developed a proximity sensor for the IBM Internet of Things (IoT) using beacon triangulation
Built Python pipelines to connect an IoT device to IBM’s Machine Learning Cloud Platform
Yale Helix Group
Helix empowered students to create health-tech startups to solve complex problems
After one semester, 2 projects developed MVPs and were tested in clinics
Yale Department of Computer Science
Assisted a data structures and algorithms course with 170 students in C programming
Led review sessions, held 10 hours of weekly help sessions, and created study guides
B.S. Computer Science
B.S. Statistics and Data Science
AUG 2016 - MAY 2020
Data Structures and Algorithms
Computational Intelligence for Games
Natural Language Processing
Statistics & Data Science
Data Exploration and Analysis
Language, Information, and Learning at Yale (LILY)
Aug 2019 - May 2020
Conducted research in encoding causal inference leveraging neural networks and natural language processing.
Yale School of Medicine
May 2017 - May 2019
Awarded the Dean’s and Pierson College Fellowships to research liver cancer genetics.
Built sorting algorithms to screen 312 patients and 9,000+ oncogenes to isolate drivers.