CS (AIML) undergrad | ML & Data Analytics | Open to opportunities.
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-Powered-Academic-Career-Navigator
March 12, 2026 – Present
AI-Powered-Academic-Career-Navigator — GitHub repository
View ProjectShaikh-Rameez-Portfolio
February 14, 2026 – Present
Personal portfolio website showcasing my projects, skills, and experience in Machine Learning and Data Analytics.
View ProjectCalifornia-Housing-Prices
February 1, 2026 – Present
Machine learning implementation from Hands-On ML Ch.2 — EDA, feature engineering, and regression models on the California Housing dataset.
View ProjectMachine-Learning-Portfolio
January 28, 2026 – Present
A collection of ML projects covering regression, classification, and data analysis using Python, Scikit-learn, and Pandas.
View ProjectSklearn--Pipelines
January 27, 2026 – Present
Demonstrates the power of Scikit-learn Pipelines by comparing model performance with and without pipeline architecture.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven approach to learning and applying technical skills. The diversity of projects, including web development alongside data analytics, suggests adaptability. However, without professional experience or team-based project descriptions, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.