A competitive and creative mathematical mind, working to maximize value from data
EXPERTISE
- Artificial Intelligence Engineering
- Generative AI
- Databricks
- Python
- Tableau
- Writing
- SQL
- R
- Pandas/Numpy
- Regression Analysis
- Neural Networks
- Convolutional Neural Networks
- Random Forests
- Cross-validation
- Support Vector Machines
- Co-variance Plots
- KNN Regression
- Time-Series Forecasting
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WORK EXPERIENCE
Perrigo - Finance Technology Consultant
November 2024-Present
- Implementing AI and Automation solutions for an improved Invoice Management System
- Building a frieght cost allocation process for enhanced profitability analysis
- Investigating Balance Sheet Anomolies
Outlier AI - Data Scientist
April 2024-November 2024
- Training and tuning Large Language Models in Data Analytics / Data Science
- Engineering and tuning prompts for more efficient AI conversations
- Generating, reviewing and editing Python and SQL code for intention-driven computation
Datavations - Sr. Insights Analyst
October 2023-April 2024
- Used knowledge of data science and machine learning to perform advanced analytics for top clients
- Improved production code in various areas of the data pipeline
- Leveraged NLP to extract insights from product names, descriptions, attributes, and company-specific data dictionaries
- Analyzed point of sale data to reconcile against proprietary company data and evaluate model performance
Vanmoof - Solutions Architect
November 2021-October 2023
- Developed reports to communicate complex data insights to stakeholders, enhancing operational efficiency
- Designed scalable, data-driven solutions for pressing problems and developed remedial strategies within the US market
- Developed strategies to optimze the ingestion, organization, and strategic use of US data
- Analyzed battery performance data and computer-generated error messages to diagnose issues
Class - Founder & CEO
March 2021-November 2021
- Created a social media company; Built the front-end and back-end of the company website
- Built data pipelines for automated ingestion, processing, organization, ranking and presentation
- Built API connections to leading 3rd party softwares for enhanced tracking, data processing, and statistical analysis
- Developed proprietary ranking algorithms for content organization
Jefferies Bank, M Science Division - Data Scientist/Investment Research Associate
June 2019-March 2021
- Forecasted Revenue and Same-Store Sales for 9 publicly traded companies, and derived insights on digital/delivery share of sales, geography and retention analyses, menu mix, among other analyses (using python and R, primarily)
- Generated insights using credit card data, email receipt data, weather data and web-scraped bot data utilizing Python, R, SQL, and Tableau
- Initiated coverage on 3 separate publicly traded companies (WING, SHAK, QSR) and P2P ride-sharing sector
- Developed reports to provide investment guidance to numerous hedge funds ahead of earnings calls
- Covered industry-wide restaurant trends for 60+ companies on a weekly basis
PTC - Corporate Development Analyst / Corporate Strategy Analyst
July 2016 - July 2018
- Researched and Identified Augmented Reality and 3D Printing companies for M&A opportunities
- Aided in the due diligence process for multi-million dollar acquisitions
- Sized and priced market/opportunity for IoT and AR products
- Created an internal perspective paper on the potential impact of blockchain technology
- Built a blockchain proof of concept product, utilizing the hyperledger composer playground
EDUCATION
Massachusetts Institute of Technology; Applied Data Science Program
June 2023
- Python, Statistics, Data Analysis & Visualization
- Machine Learning, Deep Learning, Recommendation Systems
- Generative Artificial Intelligence
Boston College; Bachelor of Science, Mathematics, Economics Minor
May 2016
- Gradient Descent & Multivariable optimization problems
- Back-Propagation, Time-Series Analysis
- Statistical Analysis
- Financial Accounting, Micro & Macroeconomics, Computer Science