Incoming Data Engineer @ Meta (Facebook)
Recent UNF Graduate
• Will join VR Platform Team (Reality Labs) on September 25, 2023
• Identified and developed cutting-edge Deep Learning applications for Discomfort Detection in Healthcare
• Utilized existing Deep Learning Models and Medical Image & Sound Datasets to increase accuracy in Patient Discomfort detection
• Contributed to Facebook Groups & Feed Channels products on Community Participation & Systems Data Engineering Team
• Developed datasets to support and enable data analysis and dashboards consumed by cross-functional partners and leadership using Python and SQL
• Iteratively built and designed analytics dashboards in collaboration with Data Scientists & Product Managers
• Designed and implemented product metrics to support and measure company objectives and priorities
• Identified an issue with an internal Dashboard Software causing inaccuracy to be displayed on hundreds of currently-in-use dashboards across all company products (Facebook, Instagram, etc.)
• Wrote full-stack software solutions to solve the problem causing the inaccuracy and implement new features enabling increased dashboard customizability and accessibility (MySQL, Hack (PHP), React, HTML/CSS)
• Lead weekly review sessions for students taking UNF’s Programming 1 Course. Course material includes foundational programming concepts in the C language and general Computer Science topics (Time complexity, OOP, basic sorting/searching, etc.)
• Collaborated with other students on data engineering & data science projects, and received mentorship from Facebook Data Science & Data Engineer mentors
• Cleansed and analyzed a Netflix Title Dataset to examine trends globally by country, user group, etc. using SQL and Python. Integrated IMDb API Results with the Netflix Dataset to incorporate user title ratings
• Designed dashboards in PowerBI to visually examine trends and presented findings and final recommendations to Facebook mentors and peers
• Furthered experience and knowledge in SQL, Tableau/Power BI, Data Visualization & Modeling, and Data Exploration & Analysis
• Taught and mentored students between 10 and 17 on topics in JavaScript, Java, Python, and more.
• Maintained company data infrastructure & performed basic database management tasks
• Designed, optimized, and built data analytics reports for various company departments in collaboration with leadership
• Automated existing hand-written reports across multiple company departments, greatly expediting periodical report generation and distribution
• Built foundational skills in SQL, Data Analysis, Power BI, SQL Server & SSIS, Data Visualization & Modeling, and professional communication
May 2023 Graduation Date
3.9 Institutional GPA