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easyshop
February 19, 2025 – February 20, 2025
A fully functional and tested REST API for an eCommerce application built using Spring Boot and Postgres
View Projecthaskell
January 14, 2022 – February 21, 2022
A collection of haskell programs written while learning the language in a University course
View ProjectNatural-Language-Processing
January 4, 2022 – January 30, 2022
A collection of resources and notebooks made while learning Natural Language Processing
View Projectmovie-db
September 12, 2021 – September 12, 2021
A search platform for movies from the Open Movies Database. Provides a list/summary of movies.
View Projectshark-classifier
August 29, 2021 – August 29, 2021
A CNN that classifies an image as 'Shark' or 'Not Shark'. Inspired by Jian Yang from Silicon Valley TV series. Built as a part of Sharkhacks 2021
View ProjectNotShark
August 27, 2021 – August 30, 2021
A useful little app to help identify whether something is a shark or not
View ProjectMachine-Learning-Algorithms
August 9, 2021 – November 14, 2021
All machine learning algorithms implemented in Python 3.x. Some implemented from scratch, some using scikit learn
View Projectframa-c-problems
October 27, 2020 – November 22, 2020
A repository dedicated for problems related to verification of programs using the tool frama-c.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and exploration across diverse technical domains, as evidenced by numerous personal projects in different languages and technologies. This suggests a proactive and curious mindset. The projects 'Machine-Learning-Algorithms' and 'Natural-Language-Processing' directly align with a Data Scientist role, indicating a focused interest. The breadth of technologies, from Go to Haskell to C++, suggests a willingness to learn and adapt, which can be a positive cultural fit for dynamic environments. However, the lack of team projects or professional experience makes it difficult to fully assess collaboration and team-oriented cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.