Help & Supportcareers@gravityer.com
Master's of Science in Machine Learning student at Milwaukee School of Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
llm-embeddings-search-engine
April 9, 2024 – May 9, 2024
LLM source engine which utilizes LangChain to search documents trained locally
View Projectpdga-flight-forecast
April 3, 2024 – May 13, 2024
Predicting the flight numbers of discs newly submitted to the PDGA for approval using machine learning.
View Projectcsc5201-lab8-front-end
February 26, 2024 – February 27, 2024
Front end for CSC 5201 Lab 8
View Projectcsc5201-lab-8
February 21, 2024 – February 27, 2024
CSC 5201 Microservices and Cloud Computing Lab 8
View Projectscriptime
July 5, 2023 – April 21, 2024
Python library to notify when a script has finished running and providing insights such as run time, CPU and RAM usage, and more.
View Projectwork-time-out
June 28, 2023 – June 30, 2023
Encourages taking screen time and work breaks to ensure healthy habits when working on your computer for extended periods of time.
View Projectdisc-golf-flight-numbers
June 15, 2023 – April 4, 2024
A brief foray into the world of disc golf flight numbers to see if machine learning can provide a standardized method of assigning a disc flight numbers.
View Projectmlb-win-predictor-front-end
June 6, 2023 – April 2, 2024
Simple Flask project to display predictions by a machine learning model for Major League Baseball games.
View Projectmlb-win-predictor
February 21, 2023 – April 2, 2024
AWS-hosted program to collect and prepare a database of MLB games to be used to build a machine learning model for predicting what team will win a game.
View Projectfinance_analyzer
June 1, 2022 – February 11, 2024
Budget tracking and visualizer, along with the ability to generate a report of general financial health.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. The diversity of projects, from sports analytics to financial tools and LLM applications, indicates a broad curiosity and self-driven learning. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style.