Logo

Bintang Akalla Junjunan

Data Science · Machine Learning · Applied AI

From data to models. From models to applications.

Exploring how data and intelligent technologies can solve complex problems and create meaningful solutions.

Profile picture of Bintang Akalla Junjunan

About Me

I'm a Physics undergraduate at Universitas Pendidikan Indonesia focusing on data science, machine learning, and applied AI. My projects span credit risk modeling, NLP, astronomical data analysis, and computer vision, with an emphasis on data preparation, model development, and evaluation.

Beyond modeling, I develop software and contribute to client projects at Rubrics, from understanding requirements to implementation. I'm interested in connecting analytical methods and machine learning with applications people can use.

Featured Projects

RiverSort AI

RiverSort AI

A computer vision prototype that detects floating plastic waste in river images, tracks objects across video frames, and provides transparent, rule-based cleanup recommendations.

Held-out FPWR test (440 images, 4 classes): mAP50 0.6936 · macro-F1 0.6904 at confidence 0.40 and IoU 0.50. Dataset-specific results; performance may differ in other river conditions.

PythonYOLO11ByteTrackStreamlit
Credit Risk Prediction

Credit Risk Prediction

A machine learning workflow for credit default risk modeling, combining feature engineering, model evaluation, and profitability simulations to explore lending strategies.

PythonScikit-learnPandasCredit Risk Modeling
Pleiades Star Cluster Membership Analysis

Pleiades Star Cluster Membership Analysis

A modular HDBSCAN pipeline for identifying candidate Pleiades members in Gaia data, with preprocessing, reference-catalog comparisons, visualization, and automated tests.

PythonHDBSCANPandasPytest
BCA Mobile App Sentiment Analysis

BCA Mobile App Sentiment Analysis

An NLP workflow for analyzing BCA Mobile user reviews, with Indonesian text preprocessing and machine learning models for sentiment classification.

PythonScikit-learnNLTKSastrawi
Smart Cancer AI

Smart Cancer AI

An educational application integrating three CNN-based models for brain, breast, and lung image classification. A demonstration of AI in a web interface, not a clinical diagnostic tool.

TensorFlowCNNNext.jsHugging Face
Book Recommendation System

Book Recommendation System

A content-based recommender that uses TF-IDF and cosine similarity to suggest books with metadata similar to an input title.

PythonScikit-learnTF-IDFCosine Similarity
Solana Price Forecasting

Solana Price Forecasting

A time-series forecasting experiment using LSTM to explore historical Solana price patterns.

PythonTensorFlowLSTMPandas

Experience

  • Solutions Engineer & Project Lead

    Rubrics
    Jul 2026 - Present

    Collaborate with Rubrics' founder on client outreach, requirements discovery, solution design, and custom software delivery. Contribute to full-stack development and coordinate implementation and client communication, translating business needs into technical requirements and working software.

  • Data Scientist Intern

    PT Vinix Seven Aurum · Internship
    Feb 2026 - Jul 2026

    Developed classification and clustering workflows, including sentiment analysis, product segmentation, and image classification. Built a PySpark ETL pipeline and documented data preparation, model evaluation, and analytical findings.

  • Project-Based Data Scientist Intern

    Home Credit Indonesia · Internship
    Jan 2026 - Feb 2026

    Worked on credit default risk modeling through data analysis, feature engineering, and classification model evaluation. Used profitability simulations to explore lending thresholds and their estimated business trade-offs.

  • Google Student Ambassador

    Google · Student Ambassador Program
    Sep 2025 - Feb 2026

    Supported campus engagement with Gemini and NotebookLM through workshops on generative AI and digital productivity.

  • Web Developer

    CELLS UPI · Remote
    Jun 2025 - Present

    Develop and maintain responsive institutional web interfaces, organizing information and translating content needs into accessible page layouts.

Technical Skills

Programming & Data Processing

Python
SQL
Pandas
NumPy
PySpark

Machine Learning & Computer Vision

Scikit-learn
TensorFlow
OpenCV

Analytics & Visualization

Power BI
Matplotlib
Seaborn

Development & Tools

Git
Jupyter
Streamlit

Additional development skills: JavaScript · Next.js

Training & Certifications

  • Machine Learning Engineer

    DBS Foundation · DBS Coding Camp 2024 - Advanced
    Issued Dec 2024

    Advanced training in Machine Learning, focusing on Python programming and practical data science applications.

    View Credential
  • Data Analytics and Visualization

    DSAREA
    Issued Dec 2025

    Completed data analytics training with grade A, covering Excel, Power BI, SQL (BigQuery), Python, and basic machine learning applications.

    View Credential
  • WEB 3.0 & BLOCKCHAIN

    MySkill
    Issued Apr 2025

    Completed training on the fundamentals and applications of Web3 and blockchain.

    View Credential

Contact Me

Get in touch to discuss data science, machine learning, AI applications, or a software project.

Bintang Akalla Junjunan | Data Science & Machine Learning