Data Scientist & ML Engineer · Depok, West Java, Indonesia

📧 [email protected] · LinkedIn · GitHub · Personal Website

Data Scientist and ML Engineer experienced in building machine learning pipelines, ETL automation, and data analysis workflows using Python. Graduate of Bangkit Academy ML Pathway (Google, GoTo, Traveloka) and advanced through IDCamp Data Scientist Kelas Mahir. Skilled in data processing, model development, and cloud-based data tools — with additional experience in building AI-integrated web applications.

Core — Data & ML

Data Engineering & Visualization

Cloud & Tools

Web (Secondary)

Machine learning-based early warning system using Random Forest Classifier to predict student dropout risk. Features an interactive Streamlit prototype for real-time prediction and a Metabase dashboard for monitoring student performance trends, financial factors, and academic metrics.

Python Scikit-learn Streamlit Metabase SQLite Pandas

Deep learning image classification model using transfer learning with MobileNetV2 (TensorFlow/Keras) to classify waste into 7 recyclable categories, enabling automated waste sorting predictions.

Python TensorFlow Keras MobileNetV2 Deep Learning

Automated ETL pipeline using BeautifulSoup for HTML parsing and Pandas for data cleaning, transformation, and validation to produce high-quality output for downstream analytics.

Python BeautifulSoup Pandas ETL

Interactive data dashboard using Streamlit and Plotly to perform comprehensive EDA on bike sharing datasets, uncovering usage patterns, seasonal trends, and station-level insights.

Python Streamlit Plotly EDA

Bachelor of Information System · Universitas Terbuka, Indonesia
2022 – 2026 (expected) · GPA(Currently): 3.39/4.00

Relevant coursework: Data Science, Statistics, Data Mining, Data Analysis & Visualization, Data Warehouse, Linear Algebra