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Reorb-LD46
April 19, 2020 – April 19, 2020
Ludum Dare 46 [Compo] entry. Made with Unity 2019.3.7f1
View Projectocr-cnn
November 19, 2019 – November 30, 2019
Machine learning model trained on a Convolutional Neural Network to recognize handwritten digits and characters of the English Alphabet.
View Projecttrador
June 16, 2019 – December 10, 2022
A full-stack web application developed for the purpose of learning MERN stack.
View ProjectDeception
February 16, 2018 – May 6, 2018
Winner of Game Jam Titan 2015, presented by MindBox. Also showcased the game at NASSCOM Game Developer Conference 2015.
View ProjectRetrodecay
January 20, 2018 – March 7, 2019
A 2D game made as an entry for the Ludum Dare 38.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards personal projects and self-directed learning, particularly in game development and some exposure to machine learning. This suggests a proactive and curious individual. The diversity of technologies used (C++, Java, Kotlin, Python, JavaScript) indicates adaptability and a willingness to explore different areas. However, the majority of projects are game-related, which might not directly align with typical Data Scientist team environments without further evidence of collaborative data science work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on teamwork, problem-solving approaches, or communication style.