E-Commerce Dashboard - Project 2

This project aims to create an interactive dashboard for an e-commerce business using Google Data Studio. It focuses on analyzing order data by product categories, geography, and time trends. The project involves data collection and in-depth analysis. It benefits the business in decision making

E-Commerce Analysis - Project 2

This project employs Python and data visualization libraries such as Matplotlib and Seaborn to create insightful visualizations. The project includes meticulous data cleaning and preparation to ensure the accuracy of the results. Each chart is meticulously labeled with titles, axis label, etc

Data Scientist Salary - Project 1

This project aims to provide valuable insights into the median adjusted salary for data scientists based on their experience, the distribution of data scientist records by company location, and specifically, to assess the median adjusted salary of employees working for companies in Indonesia (ID).

House Price Prediction - Project 3

This project focuses on predicting house prices based on a dataset of housing features. The project includes the selection of the best regression model among Ridge regression, Lasso regression, XGBoost regression, and LightGBM regression. It entails thorough analysis and model optimization for each

Imbalance Data Handling - Project 4

This project aims to improve machine learning model performance on imbalanced data through data oversampling. It involves selecting and applying Random Oversampling, retraining the model, and comparing its performance before and after handling the data.

Customer Segmentation - Project 5

This project utilizes DBSCAN for customer segmentation and compares its effectiveness with K-Means and Agglomerative methods. The project aims to analyze and provide insights into the effectiveness of DBSCAN in clustering customer data.

Customer Segmentation - Project 6

This project employs RFM analysis for customer segmentation, using past purchase behavior. It aims to create an RFM table with Recency, Frequency, and Monetary Value attributes for each customer. The process involves assigning quartile scores to attributes for segmentation and business strategy

Car Price Prediction - Project 7

This project revolves around predicting car prices by leveraging various machine learning models, including Ridge Regression, Lasso Regression, and Random Forest. The evaluation of these models is based on key metrics such as R-squared (R2) and Root Mean Squared Error (RMSE).

Advance Statistics - Project 0

This project revolves around conducting a hypothesis test to assess the quality of a product, specifically rulers. The primary objective is to evaluate whether the average length of rulers in the second quarter matches a specified standard of 30 cm. The project follows a rigorous statistical process

Data Visualization - Project 0

This project involves in-depth analysis of financial transaction data using exploratory data analysis and visualization to reveal patterns and trends. Visualizations provide insights on transaction amounts, types, and annual trends, aiding financial decision-making and strategy formulation.

Python Programming - Project 0

This project serves as an introduction to Python programming and basic mathematical operations while incorporating object-oriented programming concepts. It can be a valuable learning experience for those looking to enhance their Python skills.