Experience

Pigeon (YC W23)

• Software Development
• 1 - 100 Employee

• CEO & Co-Founder

  • Dec 2020 - 3 years 1 month

  New York, New York, United States



Google

• United States
• Software Development
• 700 & Above Employee

• Data Scientist

  • Nov 2021 - Jan 2023

  New York, New York, United States



Better

• United States
• Financial Services
• 700 & Above Employee

• Data Scientist

  • Jul 2020 - Oct 2021

  New York, New York, United States



Slice

• United States
• Software Development
• 500 - 600 Employee

• Data Scientist

  • Jul 2019 - Apr 2020

  New York, New York, United States • Implemented a DBSCAN geospatial clustering model to segment pizzerias into markets and developed metrics to identify which markets the sales team should target • Identified pizzerias that would likely have a high Slice order volume with a Random Forests classifier • Built a delivery simulation tool using Python and Google Directions API that uses POS data to estimate the number of drivers a pizzeria needs throughout the week and demonstrate the benefit of pizzerias sharing drivers •… Show more • Implemented a DBSCAN geospatial clustering model to segment pizzerias into markets and developed metrics to identify which markets the sales team should target • Identified pizzerias that would likely have a high Slice order volume with a Random Forests classifier • Built a delivery simulation tool using Python and Google Directions API that uses POS data to estimate the number of drivers a pizzeria needs throughout the week and demonstrate the benefit of pizzerias sharing drivers • Created a shop lifetime value model using Databricks/PySpark to calculate expected shop performance over time and predict company revenue • Wrote SQL for key company metrics and automated the Airflow pipeline to populate Looker dashboards daily Show less



1010data

• IT Services and IT Consulting
• 100 - 200 Employee

• Data Scientist

  • Jul 2018 - Jul 2019

  New York, New York, United States • Built a model to estimate total US online sales for domains, brands and items using raw clickstream data • Analyzed e-commerce data to identify trends and generate reports for leading retail and CPG clients • Automated ETL pipelines with Python and Airflow to ingest raw clickstream data and create a comprehensive e-commerce dataset containing hundreds of millions of transactions



1010data

• IT Services and IT Consulting
• 100 - 200 Employee

• Data Science Intern

  • Jun 2017 - Aug 2017

  New York, New York, United States • Engineered a Python script that creates PowerPoint presentations containing summaries, tables, charts and geospatial heatmaps from any dataset in the company database • Automated the process of performing initial analyses on newly acquired datasets, allowing what previously required days of work to be completed in 1-2 hours • Optimized script's performance to run efficiently on datasets containing tens of billions of rows



University of Chicago

• United States
• Higher Education
• 700 & Above Employee

• Computer Programming Intern

  • Jun 2016 - Aug 2016

  Chicago, Illinois, United States • Built a web portal allowing high-performance computing cluster users to track their usage with a dashboard containing live progress updates, usage statistics and account information • Accelerated data transfer from the cluster to the web server by developing a real-time data access script



UC San Diego

• United States
• Higher Education
• 700 & Above Employee

• Summer Research Assistant

  • Jun 2015 - Sep 2015

  San Diego, California, United States • Assisted with the front-end of a Java web application that uses a dynamic model to optimally price golf tee times on the resale market • Authored report outlining potential user-friendliness improvements and classroom implementations for future UCSD MBA students