Bagus Febriansyah Pratama

Data Science Engineer  |  Machine Learning  |  Distributed Systems

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Overview

Data Science undergraduate at Universitas Negeri Surabaya (UNESA), specializing in machine learning engineering, distributed computing, and applied analytics. I build production-grade data systems, deploy predictive models, and translate complex datasets into actionable intelligence.

Transforming raw data into meaningful insights, one algorithm at a time.

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Core Competencies

Machine Learning Supervised and unsupervised learning Deep learning with TensorFlow and OpenCV Model deployment and MLOps pipelines Applied NLP and computer vision	Data Engineering Distributed computing with Apache Hadoop and Spark ETL pipeline design and orchestration Real-time and batch data processing Database architecture (SQL and NoSQL)
Analytics Statistical modeling and inference Data visualization and storytelling Business intelligence dashboards A/B testing and experimentation design	Development Full-stack web development Cloud infrastructure (AWS, Firebase, Cloudflare) Containerization with Docker API design and integration

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Featured Projects

   InsightFlow

Data insight and analytics hub for business intelligence and market trends

A platform delivering curated data narratives, analytics breakdowns, and market intelligence. Bridges the gap between raw data and business decision-making through accessible visual storytelling.

   DepreScanAI

Depression risk detection system based on lifestyle indicators

A machine learning system that identifies depression risk through behavioral and lifestyle pattern analysis. Designed with clinical sensitivity and user privacy at its core, enabling early-stage mental health risk screening.

   SavorSave

Circular economy platform to reduce food waste

A product design and platform concept addressing food waste through community redistribution and demand forecasting. Combines data-driven surplus prediction with an intuitive marketplace interface.

   Dolen Cord

Custom Discord bot with music, administration, and community automation

A full-featured Discord bot supporting community servers with automated moderation, music streaming, event management, and custom command tooling. Built with a focus on reliability and extensibility.

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Developing Projects

Crypto Hourly

Live BTC and ETH price tracker with 1-hour ahead predictions via 5-factor technical voting

A fully automated static web dashboard that fetches BTC and ETH hourly candlestick data from CryptoCompare, computes 5 technical indicators (Momentum 1H/3H, EMA crossover, RSI, Bollinger Band), and generates UP/DOWN/HOLD signals via majority vote. Predictions update every 15 minutes through a GitHub Actions scheduled workflow. AI narrative insights are generated via Groq (llama-3.1-8b-instant) and broadcast to a Discord channel as a formatted PNG card.

Architecture highlights:

• Cron-based GitHub Actions pipeline running at 3,18,33,48 * * * * with a 13-minute guard to prevent duplicate runs
• Signal logic: 5-factor vote where UP requires 4+ bullish votes; DOWN requires 2 or fewer; otherwise HOLD
• CairoSVG-rendered Discord notification cards with sparklines, indicator cells, and vote pip visualization
• Zero backend infrastructure: pure static site + data JSON committed by the workflow bot

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Technology Stack

Languages

Machine Learning and Data Science

Distributed Systems and Big Data

Web Development

Cloud and Infrastructure

Tooling

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GitHub Analytics

  

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WakaTime

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Achievements

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Current Research Focus

Statistical Modeling and Analysis
Machine Learning Engineering
Deep Learning Applications
Data Visualization and Storytelling
MLOps and Model Deployment

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Community

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3+ years Python, Data Analysis, Machine Learning  |  2+ years R, Data Visualization  |  1+ years C++, JavaScript, Web Development