data-processing-and-analysis

A collection of workflows (R, python, bash) for retrieving and processing data from databases

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

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

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

Seismic Magnitude Prediction using Deep Learning

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

A high-performance script designed to process 2,000,000 phrases spread across 20 files (100k phrases each) with strict performance optimization

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

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.

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.

250만 Player 객체를 포인터 인덱스로 정렬·탐색하는 C++ STL 데이터 처리 과제

AI-powered lead generation workflow using n8n, Gemini, Bright Data, APIs, batch processing, data cleaning, and duplicate detection.

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

NYC TLC Taxi Trips 2020 Data Processing And Prediction

English to SQL, English as Query Language

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

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.

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.