About

I'm an impact-focused data scientist with a passion for using data to drive business value.

I have experience managing the entire end-to-end data science process, from collecting, cleaning, and engineering data to exploratory analysis, modeling, and technical documentation, clearly communicating the value of my solutions through presentations to both technical and non-technical audiences.

I'm always looking to learn new data science technologies and strategies for solving unique business problems, and am able to do so as a Data Scientist at Blackstone.

Experience



Data Scientist

Summer 2023 - Present        New York, NY

As a data scientist at Blackstone, I have two roles: one is to work alongside our investors during the deal diligence process to deliver differentiated insights using data; the other is to create value for the companies in our portfolio by driving and building impactful AI initiatives.




Data Science Intern

Summer 2022        Menlo Park, CA

As a data science intern at Meta, I algorithmically defined and analyzed a new user type, marginal users, using visualization, regression, and clustering to uncover actionable insights that were pushed to product teams.




Data Science Intern

Summer 2021        Austin, TX

As a data science intern at Dell Technologies, I created Jumpstart, a platform for value generation consisting of a Databricks Dashboard, a Query Network Graph, and an Azure Cost Anomaly Detection Model.




Data Marketplace Intern

Summer 2020        Austin, TX

As a data marketplace intern at data.world, I used Python and SQL to create technical solutions that helped build supply and demand for the marketplace.




Data Science Intern

Summer 2020        Austin, TX

As a data science intern at CareeRising, I used machine learning and NLP to improve branding, address gaps in offerings, and identify target market segments.

Projects

I enjoy merging my personal interests with my passion for data science, and have worked on various projects to accomplish that as well as to expand my technical skills. I've also competed in data science competitions to put my skills to the test.

Projects

🌌 The Hitchhiker's Guide to Data Science
A comprehensive guide to the data science + career knowledge I've acquired over the past ~2 years. View project

📊 UT Historical Course Grades Dashboard
An interactive dashboard of grades for all UT courses taken in the past decade. View project

📚 Content Recommendation
Research paper on the potential of content-based recommenders powered by machine learning. View project

📔 NLP Journal Analysis
A data-driven dive into my past using NLP + deep learning on 5 years of journal entries. View project

🎶 Moodify
An interactive digital platform that automatically creates customized mood playlists. View project

🏐 NCAA Men's Volleyball
Does height really matter for volleyball success? I find out through data analysis. View project


Competitions

💾 Texas Datahack 2022
Spring 2022, First Place Winner
Analyzed clickbait using time series and NLP to make an investment decision. View entry

🦸 The Analyst: Zero to Hero
Notebook submission for the 2021 Kaggle ML & Data Science Survey competition. View project

📱 Facebook Data Challenge
Summer 2021, Finalist
Synthesized data from Netflix and Facebook to guide strategy for a fictional Netflix clone. View entry

💾 MLDS Datahack 2021
Spring 2021, First Place Winner
Analyzed historical Spotify streaming data to power recommendations for our data-driven band. View entry

💻 Dell Data Hackathon
Fall 2020, First Place Winner
Predicted the increase of COVID-19 infections for the holiday season. View entry

Skills

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