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.
Professional Experience
Niantic Inc
Data Scientist
March 2022 - Present
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Automated data quality assurance checks in our data pipeline infrastructure
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Created a new data pipeline for reporting mobile application crash data
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Improved code modules with refactoring, error-catching, and documentation
Oliver Wyman
Senior Data Science Consultant
September 2020 - March 2022
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Built a Django-based tool to inject and extract information from a client's database and website
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Built a contract aggregation tool to enable a pharma client to drive throughput for their sales team
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Conducted A/B testing to build a machine learning model to personalize customer offer strategy
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Led end-to-end development of a novel pricing tool for a manufacturing client
Internships
Earnest Research
Data Analyst Intern
Summer 2019
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Added a company to coverage by tagging a large card transaction data set in SQL
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Backtested revenue predictions with the data and used Tableau to visualize results
IBM
Software Engineering Intern
Summer 2018
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Developed a proximity sensor for the IBM Internet of Things (IoT) using beacon triangulation
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Built Python pipelines to connect an IoT device to IBM’s Machine Learning Cloud Platform
Leadership
Yale Helix Group
Co-Founder
Spring 2018
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Helix empowered students to create health-tech startups to solve complex problems
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After one semester, 2 projects developed MVPs and were tested in clinics
Yale Department of Computer Science
Teaching Assistant
Fall 2017
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Assisted a data structures and algorithms course with 170 students in C programming
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Led review sessions, held 10 hours of weekly help sessions, and created study guides
Education
YALE UNIVERSITY
RELEVANT COURSEWORK
B.S. Computer Science
B.S. Statistics and Data Science
AUG 2016 - MAY 2020
Computer Science
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Data Structures and Algorithms
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Computational Intelligence for Games
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Natural Language Processing
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Systems Programming
Statistics & Data Science
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Linear Algebra
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Multivariate Statistics
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Data Exploration and Analysis
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Machine Learning
Undergraduate Research
Language, Information, and Learning at Yale (LILY)
Undergraduate Researcher
Aug 2019 - May 2020
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Conducted research in encoding causal inference leveraging neural networks and natural language processing.
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Paper contributions:
Yale School of Medicine
Undergraduate Researcher
May 2017 - May 2019
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Awarded the Dean’s and Pierson College Fellowships to research liver cancer genetics.
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Built sorting algorithms to screen 312 patients and 9,000+ oncogenes to isolate drivers.
