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Senior Software Engineer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Grain Technology
Data Scientist
June 26, 2026 – Present
Timberyard
November 10, 2020 – July 12, 2021
A lightweight logging module for node.js applications.
View Projectpopcorn
October 25, 2020 – October 20, 2023
Utilizing IMDb and Utelly APIs, search for movies and tv shows and see where they can be streamed.
View ProjectSimple-Docs
May 26, 2020 – January 5, 2023
Simple way to view documentation and make API calls to see their responses.
View ProjectBasketballDB
November 14, 2017 – December 16, 2017
Simple web application with Express to query data about top 500 NBA basketball players.
View ProjectNBAShotPrediction
July 11, 2017 – September 3, 2017
A data science project using R to visualize basketball data and predict whether a shot taken by Antony Davis will be made or missed.
View ProjectSolarSystem
March 3, 2017 – March 8, 2017
An OpenGL project that will accurately simulate our Solar System. It will accurately represent the speed and orbitital pattern of each planet.
View ProjectMyPL
March 2, 2017 – March 26, 2017
A lexer, parser, and interpreter for a made up set of grammar rules. These grammars form a programming language called MyPL.
View ProjectSalaryClassifier
November 8, 2016 – May 6, 2017
A machine learning script that uses KNN, Naive Bayes, Decision Trees, and Random Forests classification algorithms to predict a person's salary.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, showing interests in game development (OpenGL), language parsing, web development, and data science. While this breadth indicates curiosity, the majority of projects are personal and do not explicitly demonstrate team collaboration or alignment with a specific organizational culture. The single professional experience as a Data Scientist is current but lacks detail regarding responsibilities or achievements, making it difficult to assess cultural fit beyond the stated role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but no direct communication or collaboration examples are provided.