Data analysis project using an e-commerce online retail dataset to explore trends, insights and patterns. This project involves data cleaning, anomalies analysis, exploratory data analysis (EDA) and visualizations using Python.

The main objective of this project is predicting rainfall for each day of the year. For this project i used pyspark, and Machine Learning

This repository contains my work on Oasis Info byte’s data analytics one month internship program.

An end-to-end machine learning project that predicts automotive parts shortages for a major automotive manufacturing and distribution company. This project showcases data preprocessing, exploratory analysis, feature engineering, and robust predictive modeling (including XGBoost) to drive actionable insights under a strict NDA.

Proyek Submision Dicoding Indonesia - Belajar Analisis Data dengan Python

Exploratory Data Analysis for Audio Data

Culled from the UCI Machine Learning Repository, the Dry Bean Dataset (licensed under CC BY 4.0) provides valuable insights into bean classification and is a valuable resource for machine learning enthusiasts.

This project performs Exploratory Data Analysis (EDA) on the Indian Premier League (IPL) cricket dataset to uncover insights about players, teams, and match trends.

This is a deep learning project main purpose of this project is analyze the customers comments wether it is positive one or negative one.

TheLook E-commerce End to End Analytics Project

Data analysis project exploring factors affecting airline passenger satisfaction using pandas and matplotlib. Includes data cleaning, EDA, visualizations, and key insights.

We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.

Customer Purchase Behaviour Analysis in Retail using Python, RFM Segmentation, Market Basket Analysis, and Power BI Dashboard.

We use machine learning and data analysis to predict resale prices of Singapore flats. Our documentation covers data preprocessing, feature engineering, regression, and model selection. Discover how we improved predictions to optimize solutions.

EDA Analysis of ECG Signals to Detect Arrhythmia

This project helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.

This project explores homelessness data across the United States using 2018 Point-in-Time count figures. By analyzing trends at the state and local (CoC) level, the project aims to uncover patterns in shelter access.