Habeeb Kotun Jr.
Data ScientistTamil Nadu, IndiaMember since June 25, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fragrance_Recommendation_System
May 13, 2025 – May 15, 2025
Developed a Streamlit web app for real-time, personalized fragrance recommendations using FAISS-based semantic search and customizable user filters.
View ProjectDigit_Recognition
January 2, 2025 – January 2, 2025
This project implements a digit recognition system in Java with an interactive GUI, allowing users to draw digits using a mousepad. The drawn input is processed and fed into a neural network, trained on the MNIST dataset, to predict the handwritten digit.
View ProjectPokemon-Mastering-Machine-Learning
May 20, 2022 – July 13, 2022
The goal of this project was to build machine learning models to predict whether a Pokémon is legendary and to classify its type based on its stats. The dataset was scraped from Pokémon DB, Serebii, and Bulbapedia, with data cleaning, EDA, and model building done in Python using Jupyter notebooks.
View ProjectAn-Analysis-of-Video-Game-Genre-Releases
December 22, 2021 – February 24, 2022
An-Analysis-of-Video-Game-Genre-Releases — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration across different technical domains, which could indicate a proactive and curious mindset. The diversity of projects, from machine learning to traditional programming, suggests adaptability. However, without specific team-based projects or work experience, it's difficult to fully assess collaboration or cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.