I transform raw datasets into decisions. Skilled in SQL, Power BI, Python and machine learning — currently interning at Rubix and graduating from Fabtech Technical Campus in 2026.
Data Analytics Intern @ Rubix · Fabtech Technical Campus, Sangola · 2026 Passout
What I work with
All repositories
01 · Jupyter Notebook
Machine learning system to classify news articles as real or fake. Uses NLP techniques and classification models to detect misinformation.
View on GitHub →02 · Python
A comprehensive collection of data structures and algorithms implemented in Python, built as a learning and reference resource.
View on GitHub →03 · HTML
A web-based application for breast cancer detection, combining data science with a front-end interface to present diagnostic predictions.
View on GitHub →04 · Python · Streamlit
An interactive web app built with Streamlit that automates data cleaning tasks — handling missing values, duplicates, and transformations with a simple UI.
View on GitHub →05 · Python
Predicts stock prices using machine learning regression models. Includes data collection, preprocessing, feature engineering, and model evaluation.
View on GitHub →06 · Python
A Python-based digital voting system implementing secure vote recording, candidate management, and result computation logic.
View on GitHub →07 · Excel · SQL · Power BI
Comprehensive market analysis using Excel, SQL, and Power BI to identify sales trends, customer demand patterns, and regional performance insights for data-driven business decisions.
View on GitHub →08 · Jupyter Notebook
Credit risk prediction using ensemble learning (Random Forest, AdaBoost, Gradient Boosting, Voting Classifier) combined with resampling techniques — RandomOverSampler, SMOTE, and SMOTEENN — to handle class imbalance.
View on GitHub →09 · SQL · Power BI
End-to-end SQL analysis of IMDb movie data exploring directors, ratings, revenue trends, and gender representation. Paired with Power BI dashboards surfacing popularity and profitability patterns.
View on GitHub →10 · Jupyter Notebook
Predicts company profit from R&D Spend, Administration, and Marketing Spend. Full pipeline: EDA → feature selection → model training → evaluation achieving R² = 0.95.
View on GitHub →11 · Jupyter Notebook
Real-time face mask detection using Convolutional Neural Networks trained with TensorFlow/Keras. Integrates live video stream analysis via OpenCV.
View on GitHub →12 · Python · SQL
Customer segmentation and purchase behaviour analysis using Python and SQL. Uncovered spending trends and patterns, visualised in Power BI reports for actionable business insight.
View on GitHub →13 · Python (Private)
A structured 100-day Python learning series covering fundamentals through advanced topics — part of a dedicated self-improvement programming curriculum.
14 · Python (Private)
A 100-day logic building series focused on pattern printing problems in Python, designed to strengthen programming fundamentals and problem-solving skills.
15 · HTML · CSS · JS
Personal portfolio hosted on GitHub Pages showcasing projects, skills, and achievements with a clean responsive layout.
View on GitHub →Background
Rubix
Working with real-world datasets to generate business insights. Applying SQL, Python, and Power BI to transform data into dashboards and reports that drive decisions.
Fabtech Technical Campus, Sangola · 2026 Passout
Core curriculum covering machine learning, data structures, statistical analysis, and database systems. Built hands-on projects spanning SQL analytics, deep learning, NLP, ensemble methods, and predictive modeling across 17 repositories.
Kaggle · GitHub
Active on Kaggle (rushikeshkharade11). Running dedicated 100-day coding series for Python fundamentals and logic building. Continuously upskilling in advanced analytics and ML deployment.
What's next
Get in touch
Open to analytics roles, data science collaborations, and interesting problems. Graduating 2026 and ready to make an impact.
"Data is not just numbers — it's the story of what's happening in the world." — Rushikesh Kharade