A comprehensive R-based data analysis project that examines housing rental patterns across multiple cities, utilizing statistical methods and visualization techniques to analyze 4,746 properties' data points including rent prices, locations, and amenities. The project employs various R libraries to clean, process, and visualize rental market trends

Seismic Magnitude Prediction using Deep Learning

Gene expression analysis approaches using knowledge graph of Protein-Protein Interaction from STRING database

A jupyter notebook approach using pythong to track and estimate the rotation period of an asteroid.

Excel VBA-based system to automate sales request processing, integrating raw data extraction, validation, and approval logic.

Segment Sphere is a customer segmentation tool using RFM analysis to group customers based on recency, frequency, and monetary value. It processes e-commerce data, provides actionable insights, and visualizes results with interactive charts. Ideal for understanding customer behaviour and supporting data-driven decisions.

Student Performance Analysis This project analyzes a dataset of 10,000 student records to uncover insights into academic performance. Using Python and Pandas, it processes and visualizes key trends related to students' grades, study habits, and other influencing factors.

CartIQ is a Python-based web application designed to assist users in making informed purchasing decisions. The system analyzes structured product data and generates recommendation insights using a modular architecture built with Flask. It focuses on providing a scalable backend structure for product evaluation, comparison, and decision support.

Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework

A Streamlit + ML app that predicts if a property is a good investment and forecasts its price after 5 years. Trained on real estate features using classification & regression models for smart investment decisions.

Autonomous Vehicle Project – From messy data to self-driving intelligence! We cleaned and visualized data, built robust AI models, and designed a vision for safe, smart, and autonomous mobility.

English to SQL, English as Query Language

NYC TLC Taxi Trips 2020 Data Processing And Prediction

🎢 IaaS visual editor to create & deploy data processing pipelines - python, rmq, react, meteorjs

This project is a Natural Language Processing (NLP) initiative that performs sentiment analysis on IMDB movie reviews.

This project focuses on predicting employee attrition using machine learning techniques. It analyzes factors influencing employee turnover, such as job satisfaction, work environment, and compensation. By leveraging data preprocessing, feature selection, and classification models, the project provides insights for retaining valuable talents.

This Project aims to implement a **Hadoop MapReduce job in Pseudo-Distributed Mode** to determine the **feistiest Pokémon** based on their **type**. The job processes the Pokémon dataset (`pokemon.csv`) and outputs a CSV file containing Pokémon **type1, type2, name, and feistiness score**.

ResearchAI - A Python toolkit for AI/NLP research with modular data processing, vector storage, and retrieval utilities to accelerate experimentation