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Resume

Work
Experience

2024-Present

Revel
Senior Data Scientist
Brooklyn, NY

  • Lead algorithm developer for Rideshare consumer pricing; responsible for ideation, oppty sizing, algo development, and backend deployment

  • Designed & partnered with engineers to implement a dynamic pricing system with high spatial precision for enhanced revenue optimization

  • Led a transition from static to dynamic incentives (temporal and spatial), boosting operational efficiency and customer engagement

2022-2024

Revel
Data Scientist
Brooklyn, NY

  • Created dashboards, evaluated A/B tests, and communicated insights to stakeholders within Rideshare; required advanced level of SQL

  • Developed a rideshare demand & seasonality time series model with NYC gov’t & internal data, to help improve resource allocation

  • Designed consumer incentive campaigns targeting 400k+ users, heavily contributing to a >100% improvement in a key profitability metric

2022

Verisk Analytics
Intern - Data Science Excellence Program
London, UK

  • Team lead on an end-to-end project to improve a live product; involved data wrangling, querying, modeling, and deployment

  • Fostered strong analytical & creative thinking due to computational complexity (>30MM observations) and lack of ground truth

  • Developed and implemented an XGBoost model with a custom loss function to predict building-level targets using regional distributions

2022

Imperial College Business School
Data Scientist (Data Spark)
London, UK

  • Collaborated with team of Imperial students as paid consultants for an advisory firm in the entertainment industry

  • Collected and cleaned data from external APIs; built deep learning & unsupervised ML models to forecast cash flows for unique assets

  • Awarded best ‘Individual Contribution to Client Relationship’ and remained on project individually to present to Head of Deal Advisory

2021

Bluebonnet Data
Data Analyst
Virtual

  • Volunteer Data Analyst with a 2021 campaign for Boston City Council, responsible for voter targeting & outreach tracking

  • Built a supervised learning model to classify >40,000 voters by turnout probability with ~80% test set accuracy

  • Generating Voter Turnout Scores from Scratch

2019 - 2021

Wells Fargo Corporate & Investment Banking 

Data Analytics & Strategy Associate (Equities)

New York, NY

  • Business Analyst for Research Technology; managed development of client interaction & revenue dashboards used by 200+ employees

  • Created & automated bespoke KPI reports for senior mgmt. in Equity Research & Client Strategy to present to Head of Equities

  • Crafted data-driven strategy to target client outreach ahead of annual I.I. Survey (WF jumped from #12 in 2019 to #8 in 2020)

2017 - 2019

Wells Fargo Corporate & Investment Banking 

Equity Research Product Mgmt. Analyst

New York, NY

  • Created custom analytical tools in Excel for the Director of Research including a model quantifying Research Analyst profitability

  • Managed cross-departmental regulatory project to acquire & store data from ~100k users, working with Tech to automate the process

Education

2020 - 2021

Imperial College London
MSc Business Analytics

Achievements: Samuel Eilon Prize for Best Overall Performance, Dean’s List, Distinction

Organizations: Student Staff Committee (Social Chair); Data Spark

2013 - 2017

University of Notre Dame
BA in Economics

Achievements: 3.95/4.0 GPA, summa cum laude, Glynn Family Honors, Phi Beta Kappa, Theodore S. Weber Award (highest Economics GPA)

Thesis: “Stress, Gender, and Prosocial Behavior: Why Can We Be Friends?”

Projects/Publications

2022

New York Times Sentiment Analysis with TensorFlow
Towards Data Science (TDS)

  • Sentiment analysis on NYT article abstracts (pulled via pynytimes API) for the past four U.S. presidents’ first years in office

  • Analysis performed first using TextBlob library, then using a custom TensorFlow model trained on a dataset of labeled tweets

  • Results visualized using Tableau: Comparing U.S. Presidents' First Years (TDS)

2021

Visualizing Spotify Data with Python
Towards Data Science (TDS)

(TDS)

  • Popular tutorial on how to use Spotify’s API and a copy of your streaming data to analyze your music taste (similar to Wrapped)

  • Created a dynamic, linked dashboard in Tableau, allowing for filtering by month, genre, artist, etc. to gain further insight

  • Follow-up project exploring the Spotify API’s “audio features”: Spotify API & Audio Features* (TDS)

Additional projects featured in TDS: Healthcare Price Disparities in NYC*| Medicare Claims | Pandemic in Perspective

* Indicates selected as Editor’s Pick

Skills
& Expertise

  • Skills: Data Analysis, Data Visualization, Statistical Modeling, Machine Learning, Custom Algorithm Development & Deployment, Backend Development, Time Series Forecasting, A/B Testing, Project Management​

  • Programming Languages: Python, SQL, R

  • Visualization: matplotlib, seaborn, plotly, ggplot2, Mode, Tableau

  • Engineering: Snowflake, PostgreSQL, NoSQL, DBT, Airflow

  • Other: Git, AWS (SageMaker, S3, OpenSearch), Google Sheets, Excel, Amplitude, Segment, Prophet, Orbit

  • Certifications: IBM Data Science Professional Certificate

Extras

Imperial Student Staff Committee: Business Analytics Social Chair

2021-2022

Elected by cohort of 80+ students to plan social events, generate sense of community, and serve as class representative to the program directors.

​

Terminal Fall 2021 Europe Regional Competition | Citadel, Citadel Securities & Correlation One

2021

Strengthened object-oriented programming & collaborative coding skills in highly selective competition to create a winning algo.

​

Women in Data: NYC Chapter Lead

2019-2021

Led a team of volunteers tasked with organizing in-person and virtual networking events (80+ attendees, most across organization) for women in data-related fields in the New York metropolitan area.

 

Interests

Comedy shows & podcasts, running in Prospect Park, books with excellent characterization and limited plot.

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