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one-month-challenge
October 24, 2024 – October 24, 2024
one-month-challenge — GitHub repository
View ProjectAutiLearn
July 27, 2024 – August 26, 2024
AutiLearn is an AI-powered app that transforms learning for autistic children. We offer personalized, engaging lessons, and interactive tools to help kids thrive.
View Projecthaven-app
July 19, 2024 – July 29, 2024
Haven is your trusted AI companion for a better mental health.
View Project911-Coach-AI
July 7, 2024 – August 11, 2024
An AI-driven platform to simulate 911 calls and get instant evidence-based answers to questions related to medical emergencies.
View Projectmedium-articles
November 25, 2023 – November 3, 2025
This repository contains code snippets and notebooks that support my medium articles.
View Projectflowshop
February 25, 2023 – May 6, 2024
A set of Python Jupyter notebooks exploring the Flow Shop Scheduling Problem (FSP) through exhaustive search, heuristics, local search-based metaheuristics, and population-based metaheuristics such as genetic algorithms, focusing on both solution quality and computational efficiency.
View Projectdeloitte-virtual-internship
February 17, 2023 – October 5, 2023
Submission for the STEM Virtual Program by Deloitte via Forage.
View Projectintro-component-with-sign-up
May 17, 2022 – October 5, 2023
Introduction component with Sign up from @frontendmentorio.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are AI/ML-focused and align with the Data Scientist role. The diversity of applications (healthcare, education, optimization) suggests a broad interest in problem-solving. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and working within an organizational structure. The experience level is 0, indicating a junior profile, which might require significant mentorship and integration into a senior team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a self-starter attitude and an interest in applying AI to real-world problems, but there is no information on teamwork, communication, or problem-solving in a collaborative environment.