Laurent Didier Reyes
Present Address: * ******* *****, *********, ** 07086
Contact Info: 551-***-****, ***********@*****.***, https://www.linkedin.com/in/laurent-reyes-591217203/ Portfolio Website: https://laurentreyes.salfo.tech/Salfo IMS Project Website: https://salfo.tech/ Education
University: Stevens Institute of Technology - Hoboken, New Jersey Bachelor of Science in Quantitative Finance and Quantitative Engineering Work Experience
Ekimetrics - Manhattan, NY
Junior Data Scientist - September 2025 -> March 2026 Supported consulting teams in the automotive and CPG industries, contributing to end-to-end project delivery. Executed full project lifecycles from data collection, modeling, and insight generation to inform clients on optimizing media marketing budget allocation. JFK International Air Terminal - Queens, NY
Business Consultant - September 2024 -> May 2025
Analyzed spending patterns for JFK Terminal 4 and evaluated airport-specific vs. universal apps for F&B and duty-free purchases to provide recommendations on app development strategies for travelers. Stevens Institute of Technology - Hoboken, NJ
Office of Sponsored Programs (OSP) Intern - January 2025 -> June 2025 Collaborated with subject matter experts to update the external-facing website, enhancing content accuracy. Conducted data entry and testing to migrate research systems, ensuring functionality. Supported research administration initiatives, streamlining processes, and maintaining data integrity. Projects
Salfo Technologies Inventory Management System (IMS) Website - Summer 2024 Developed a robust Inventory Management System utilizing MySQL servers, PHP, and JS to streamline the management of products, suppliers, and purchase orders. The system supports CRUD operations for products and suppliers, detailed order tracking, statistics, and automated CSV/PDF report generation.
(Guest credentials for IMS access can be found on the portfolio website above) Tableau Airbnb NYC Listing Dynamic Dashboard - Summer 2024 Gathered NYC Airbnb listing data from online data sets July 5, 2024 and utilized Tableau in order to create an interactive dashboard that allows users to view different data analytics by filtering listings based on room type (hotel rooms, private rooms, etc…). Data shown on the dashboard includes a heat map showcasing average neighborhood prices, top ten hosts by number of reviews, etc… Stock Sentiment Analysis Using NLP And Machine Learning - Summer 2024 Utilized Python, NLTK, Pandas, NumPy, and TextBlob to develop a sentiment analysis system to predict stock market trends through analyzing sentiment in Yahoo News through the Mboum Finance API. The output graphs the closing daily stock price and daily stock sentiment scores to potentially highlight any stock changes caused by sentiment changes. Lastly, it gives the aggregate sentiment score and tells the user whether to buy, not buy, or hold the stock.
Skills & Certifications
Technical: Databricks, Microsoft Suite, Tableau, Python, R, SQL, COMPTIA Security+