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Machine Learning Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
llm-reasoning-comparison
January 2, 2026 – Present
llm-reasoning-comparison — GitHub repository
View ProjectOptimizing-Warehouse-Flows-with-Q-Learning
June 27, 2019 – December 9, 2019
Optimizing-Warehouse-Flows-with-Q-Learning — GitHub repository
View ProjectFashion-Class-Classification
May 11, 2019 – September 5, 2019
Fashion-Class-Classification — GitHub repository
View ProjectCredit-Card-Fraud-Detection
May 8, 2019 – September 5, 2019
Credit-Card-Fraud-Detection — GitHub repository
View ProjectFlight-price-prediction
March 23, 2019 – March 23, 2019
Flight-price-prediction — GitHub repository
View ProjectDirecting-Customers-to-Subscription
March 12, 2019 – May 18, 2020
Directing-Customers-to-Subscription — GitHub repository
View ProjectPredicting-Discount-Classes
March 5, 2019 – May 12, 2019
Predicting-Discount-Classes — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects indicate a self-starter mentality and a passion for technology, particularly in AI/ML. The variety of projects suggests curiosity and a drive to learn. However, without information on team-based projects or professional experience, it is difficult to fully assess cultural fit regarding collaboration and workplace dynamics. The projects are primarily individual contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile lacks details on collaborative work, communication styles, or problem-solving approaches in a team setting. Psychometric test results are not available.