Education
List of my education belows
Courses
Skills
Projects
Here are some of my projects in Data
- All
- Data Analysis
- Data Visualization
- Data Engineering
- Machine Learning
Developed an ETL pipeline in Python (Pandas) to process 150,000+ Uber ride records. Extracted raw CSV ride data, transformed it through datetime unification, ID standardization, categorical encoding, missing value handling, duplicate removal, and calculation of revenue per km.
Developed an ELT pipeline: scraped 28,000+ app reviews (Python), loaded into BigQuery, and applied SQL transformations.
E-Commerce Data Dashboard & Visualization: Designed an Interactive Dashboard to Visualize Key E-commerce Metrics, Including Total Orders, Revenue, Customers and Seller.
End-to-end Analysis of E-commerce Transactions, Covering Total Orders, Revenue, Customers, and Sellers. Evaluate On-time vs Late Deliveries, and Provide Data-driven Recommendations for Operational Improvements.
SuperStore Dashboard: Total Sales, Total Units Sold, Total Orders, Product Qunatity Distribution by Category & Segment, Shipment Overview & Performance Metrics.
Interactive HR Dashboard: Employee Distribution by Gender, Age, Salary, and Work Duration, Retention vs. Turnover Analysis, and Top 10 Reasons for Employee Attrition.
Brazilian E-commerce Dashboard: Top-rated Products, Highest Sales and Revenue, Store-wide Performance, Yearly Sales and Revenue Trends, and Analysis of Peak Order Days.
Implementation of Auto ARIMA, PSO-LSTM, and PSO-GRU for Time Series Modeling of 3 Telecommunication Company Stock Prices LQ45 Index.
Forecasting Time Series the Population of Bekasi Regency Using Double Exponential Smoothing Brown Algorithm.
Implementation of Moving Average and Single Exponential Smoothing Methods in Predicting the Stock Price of Toll Development Service Company.
Implementation of Convolutional Neural Network (CNN) for Rock, Paper, and Scissors Image Classification with Accuracy Optimization.
Certificate
Certificate of Courses
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