All Data Solutions Projects

A collection of data science, machine learning, and analytics projects showcasing various technologies and approaches.

Click on a project card to explore the details and source code.

Statistical Analysis & Forecasting

Descriptive and predictive analytics using R and RMarkdown. Includes PCA, clustering, time series forecasting with ARIMA/ETS, and deep multivariate statistical modeling.

R ARIMA Time Series Forecasting EDA

Mathematical Methods of AI

A diverse set of AI projects including Explainable AI, Recommender Systems, Kalman Filters, and LDA Topic Modeling — all built with a focus on robustness and interpretability.

XAI Kalman Filter LDA Recommender Python

Personalized Recommendations & Demand Forecasting

A hybrid machine learning system for personalized product recommendations and inventory-aware demand forecasting. Addresses cold-start and long-tail issues in e-commerce.

Machine Learning Recommendations Forecasting Streamlit SQLite

AI Lab Methods & Projects

A collection of lab-based projects covering ANN classification, Naive Bayes spam detection, time series forecasting, and statistical data preprocessing using Python.

Neural Networks Naive Bayes Forecasting Data Analysis Python

ML Lab Projects

A hands-on collection of supervised learning labs using regression, classification (LDA, QDA, Logistic), KNN, and model evaluation techniques.

Logistic Regression LDA/QDA KNN Linear Regression Python