Python practitioner exploring machine learning, deep learning, and generative AI. Building projects that blend data, models, and a bit of curiosity.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML_Deployement
March 31, 2026 – Present
This project predicts the price category of a mobile phone using a Decision Tree Machine Learning model. The user enters key specifications of a mobile device through a web interface, and the system predicts its price range.
View ProjectAI-Content-Moderation-System
March 12, 2026 – Present
AI-Content-Moderation-System — repository
View ProjectMachine_Learning_Models
January 28, 2026 – Present
Machine Learning Models & Experiments A collection of machine learning projects and experiments implemented from scratch and using scikit-learn. This repository showcases my learning journey in data preprocessing, feature engineering, model training, evaluation, and visualization using real-world datasets.
View Projectjavascript-snippets
December 28, 2025 – Present
A collection of JavaScript snippets, utilities, and experiments for learning, testing, and reuse.
View ProjectPortfolio
June 4, 2025 – Present
My personal portfolio website showcasing projects, skills, and contact information.
View ProjectCultural Fit Analysis
The candidate's projects show a focus on individual learning and exploration, primarily in Machine Learning and web development. The diversity of projects suggests a willingness to learn new technologies. However, the lack of team projects or detailed descriptions makes it difficult to assess collaboration or alignment with a specific team culture. The target role is 'Data Scientist', and while there are ML projects, the depth and complexity cannot be fully assessed without more details or test results. The 'experienceLevel' is 0, indicating an entry-level candidate, which might not align with senior-level expectations without significant demonstrated project depth.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.