Welcome to my data science portfolio! This repository contains a collection of my projects spanning Exploratory Data Analysis (EDA), Machine Learning, Natural Language Processing (NLP), and Time Series Forecasting.
Tools & Technologies: Python, Pandas, NumPy, Scikit-Learn, TensorFlow/Keras (LSTM), Matplotlib, Seaborn.
- Predicting AI/ML Salaries: An end-to-end machine learning pipeline predicting compensation trends in the AI sector.
- Diabetes Analysis & Model Deployment: Diagnostic predictive modeling for healthcare data.
- End-to-End Liver Disease Prediction: A diagnostic machine learning pipeline to predict liver disease based on patient health metrics.
- Stocks Prediction LSTM Model: Deep learning application using Long Short-Term Memory networks for financial forecasting.
- Consumer Behavior Analysis: Baseline predictive modeling to understand consumer purchasing patterns.
- F1 Pit Stop Prediction: Utilizing Random Forest regression to predict pit stop durations based on historical race telemetry and track conditions.
- Global Petrol Prices Analysis (April 2026): Macro-economic analysis of recent global fuel price trends.
- Supermarket Sales Analysis - KPIs: Deriving actionable Key Performance Indicators from retail sales data.
- Forecasting S&P 500 Trends: Using global economic indicators to forecast market movements.
- Predictive Algorithmic Trading: Implementing trading strategies for Aldrees Petroleum using predictive modeling.
- FIFA Transfer Value & Scouting Intelligence: Analyzing football player metrics to determine market value and uncover scouting opportunities.
- Strategic Import Analysis - Growth And Risk: Evaluating international trade data to assess import growth trends and supply chain risks.
- Fantasy Baseball Decision Intelligence System: An end-to-end decision engine for fantasy baseball streaming, using XGBoost and Random Forest to identify high-value (18+ pt) starting pitchers.
- IPL 2026: Comprehensive EDA & ML Win Predictor: Real-time sports analytics and match outcome prediction.
- GreenHouse Plants & Farm Production Analysis: Agricultural data analysis optimizing plant growth and farm yields.
- Happiness Index Prediction: Socio-economic regression modeling focusing on South Asia & the Middle East.
- Farm Production Analysis: Evaluating crop yield patterns and environmental factors to provide data-driven insights for agricultural optimization.
- Student Mental Health & Burnout Analysis: A global study on how social media consumption impacts sleep and psychological well-being across 111 countries.
- Tallinn Restaurant Recommender: A localized recommendation engine for dining options in Tallinn, Estonia.
- App Reviews EDA & Sentiment Analysis: Extracting sentiment polarity and aligning qualitative user reviews with quantitative star ratings.