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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MediCab
December 17, 2025 – Present
This app is a personal home medicine cabinet tracker that helps users clearly understand what medicines they have at home, what those medicines are for, and whether they are still safe to use. The app acts as a single source of truth for all medicines stored in a household, reducing confusion, waste, and unsafe consumption.
View Projectgithub-pages-with-jekyll
December 27, 2020 – December 27, 2020
github-pages-with-jekyll — GitHub repository
View Projectgithub-slideshow
December 27, 2020 – December 27, 2020
A robot powered training repository :robot:
View Projectgame-of-life
April 12, 2020 – April 12, 2020
Parallel implementation of Conway's Game of Life in Python using MPI
View Projectcapstone-news
March 11, 2020 – March 12, 2020
The aim of this project is to develop a shallow learning and a deep learning model, to identify the Category of news articles and summarize the Article using Deep Learning. This dataset [400k x 7] was collected by UCI from various News Sources, like LA Times, The Washington Post, Tech Crunch, etc.
View Projectlattice-gas-ca
December 15, 2019 – March 21, 2021
A parallel implementation of the Lattice Gas Cellular using MPI in python
View Projectbayesian-movie-analysis
November 11, 2019 – January 19, 2020
This academic Project aims use bayesian methods for data science to predict the success or failure of a movie based on purely the pre-production information. The success or failure of a file is decided purely based on the financial success of the film.
View ProjectDL-Music_Generation
March 11, 2019 – February 2, 2020
Deep learning (LSTM) approach to generating music
View ProjectNLP-Movie_Scripts
February 8, 2019 – February 2, 2020
Trying to predict a movie's success based on the script (before filming)
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong self-driven learning approach. The diversity of projects, including parallel computing and web scraping, suggests a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a corporate environment. The projects align well with a Data Scientist role, but the absence of real-world application or business context in project descriptions limits the assessment of practical problem-solving and collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.