Analyzing logistics data to optimize shipment efficiency, reduce delays, and enhance supply chain visibility using Power BI. Insights include top routes, delays, supplier trends, and peak shipments.

Analyzing critic and user scores in movies to explore trends,gaps and key insights

Ejercicios de clase y Trabajo Práctico de la materia Ciencia de Datos UNLaM (3670) - 1C / 2C 2025.

Data Mining Final Project

🤖This is an interactive Streamlit web application that predicts the likelihood of multiple diseases(Diabetes Prediction, Heart Disease Prediction, Parkinson's Disease Prediction) using Machine Learning models.

Hi their, My self Dhruv. So this repository are fully work on the images preprocessing.

A Python Library for the Generation of Artificial Missing Data

Functionality to preprocess and analyse multi-omics data

E-commerce Return Rate Reduction Analysis – Data-driven project using SQL, Python (Logistic Regression), and Power BI to analyze return patterns, predict customer behavior, and provide actionable insights to reduce product returns.

Data cleaning and validation project using MySQL to verify Indian PAN numbers with regex rules, custom functions, and reporting.

I built an end-to-end customer churn segregation and prediction project.

All the scripts to prepare the Courtois-Neuromod dataset

Preprocessing scripts for Two-Photon data. Compile, motion correct and downsample tifs.

Projeto de criação de um relatório no Power BI usando dados da empresa fictícia Northwind. Após pré-processamento e análise dos dados em Jupyter Notebook, foi desenvolvido um painel com 7 páginas para integrar áreas da empresa, resolver problemas de gestão e melhorar a tomada de decisões.

Este projeto explora dados de desempenho estudantil utilizando tecnologias modernas de análise de dados. Através de consultas SQL na AWS Athena e visualizações no Power BI, investigamos fatores que influenciam o desempenho acadêmico de alunos de Matemática e Português.

Scripts to preprocess ocean data files from custom apps in order to export the data to Ocean Information Model.

Audio Pattern Recognition project - Music Genres Classification

I used CountVectorizer to convert movie data into vectors, Cosine Similarity to find similar movies, and PorterStemmer to clean the text data for better accuracy in recommendations.