About Me

Welcome! I'm Hilary Present, a current graduate student about to finish my M.S. in Computational Data Science at Georgia Tech. With a background in Cognitive Science and Computer Science, coupled with a passion for the outdoors, I've developed a deep interest in leveraging data to drive impactful decisions, particularly in the realm of materials science and environmental sustainability. I am driven by a relentless pursuit of knowledge and improvement, and a dedication to using my skills for innovative, complex problem solving.

  • Programming Languages
    Python, R, JavaScript, HTML/CSS, Assembly Language
  • Machine Learning & Deep Learning
    PyTorch, TensorFlow, Keras
  • Data & Visualization
    Pandas, NumPy, Tableau, D3.js
  • Database & Data Manipulation
    SQL, Hadoop, Spark
  • Cloud Computing
    Microsoft Azure, AWS, GCP
  • HercTech
    Data Analyst (2020 – Present)
  • Matmerize
    Technical Lead in Data Analytics (2024)
  • Ramprasad Research Group
    Research Assistant (2023 – 2024)
  • Easy Day Sports
    Marketing Coordinator and Analyst (2022 – 2023)
  • ILINX LLC
    Founder and CEO (2020 – 2022)
  • Georgia Institute of Technology
    M.S. in Analytics, Computational Data Science Track (Aug 2023 – Aug 2024)
  • University of Virginia
    Dual B.A. in Cognitive Science and Media Studies, Computer Science Track (Aug 2017 – May 2021)
  • Georgia Research Alliance Student ScholarshipNominated by a Georgia Tech professor and selected as one of ten STEM students statewide to receive funding for research in a lab on campus
  • ATLytiCS Data for Hope™ Competition
    Team Won Second Place; Prize of $2000 (2023)
  • • I biked across the country when I was 16 (3200 miles, from South Carolina to California)
  • • I built and camped in an igloo for two weeks
  • • I have two different shaped ears – one attached and one detached
  • • Botanically speaking, strawberries are not considered berries, whereas bananas are

Expertise

Machine Learning

Building predictive models and neural networks to solve real-world problems in various domains.

Data Analysis

Utilizing statistical modeling and machine learning to extract insights from complex datasets.

Cloud Computing

Leveraging scalable cloud infrastructure to enhance data processing, storage, and collaboration across distributed systems.

My Work

Portfolio Optimization Simulation with MCMC

A project utilizing Monte Carlo Markov Chains to optimize investment portfolios by simulating potential returns and risks.

Convolutional Neural Net for Thoracic Diagnosis from Chest X-rays

A project using Convolutional Neural Networks to predict thoracic conditions from chest X-ray images, enhancing diagnostic accuracy.

Air Quality Visualization

A project that visualizes air quality data using interactive maps and charts.

House Price Prediction

Predicting house prices based on various features using a Random Forest Regressor.

Task List Web Application

This interactive to-do list app built with HTML, CSS, and JavaScript, featuring local storage for task persistence and a clean, responsive design. Users can add, edit, and delete tasks, as well as mark them as completed with intuitive controls.

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