Muhammad Faqih Hakim

Data Science | AI/ML Engineer | Analytics

📧 mhmdfkih21@gmail.com | 🔗 Linkedin | 💼 Portfolio: faqihhakim.tech

GitHub Overview:

GitHub Analytics:

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👨‍💻 About Me

Final-year Informatics student (GPA 3.85/4.00) with 4+ years Python experience. Specialist in Data Science, LLM Automation, and Graph Neural Networks. Currently working as Data Analyst & LLM Automation at PT Tunas Ridean.

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💼 Professional Experience

Data Analyst & LLM Automation @ PT Tunas Ridean (Transformation Office)

• Automating 15+ internal workflows using LLM solutions
• Processing 2M+ records/month for strategic analysis
• Deployed 3 production ML models across divisions

HPC Development Team & Data Science Instructor @ Gunadarma University

• Built HPC infrastructure supporting 50+ research projects
• Led bootcamp for 200+ international students (Uzbekistan partnership)
• Delivered 40+ technical ML workshops & seminars

ML Associate Core Team @ GDGoC Gunadarma University

• Trained 150+ student developers in ML fundamentals
• Created 8 complete ML curriculum modules

Machine Learning Engineer @ PT. PowerNET IndoSolution

• Delivered 5+ ML solutions for enterprise clients
• Models served 100K+ daily predictions

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🏆 Achievements

Achievement	Details
Grand Champion - Pesta Data Nasional 2024	Data Engineering (BigQuery), LSTM forecasting, Dashboard
3rd Place - Fesmaro 2025 Big Data	Analyzed 3.6M+ Amazon reviews with sentiment analysis
Finalist - Hackfest0x09 CTF 2024	Binary Exploitation & Digital Forensics

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🚀 Key Projects

AI Agentic Fraud Detection (GNN + LLM)

Metrics:

• Model Accuracy: 94.28% | ROC-AUC: 0.98
• Dataset: 25M+ rows (IBM dataset)
• Graph: 194K+ nodes in Neo4j
• Real-time detection with Kafka + DeepSeek API

Hand Fracture Detection (YOLO)

• Computer vision model for medical imaging
• Legal copyright registered (Ministry of Law & Human Rights)
• Collaboration: RSUD Depok

Amazon Review Sentiment Analysis

• Processed 3.6M+ reviews
• BiLSTM model for multi-class sentiment classification
• Visualized trends → National competition (3rd place)

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💻 Tech Stack

Languages

Data Science, AI & Deep Learning

Data Engineering & Infrastructure

Tools, Frameworks & Platforms

Analytics & Visualization

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🎯 Core Competencies

✓ LLM Automation & RAG Systems
✓ Graph Neural Networks (GCN)
✓ Deep Learning (CNN, RNN, LSTM)
✓ Computer Vision (YOLO)
✓ Stream Processing (Kafka)
✓ MLOps & Production Deployment
✓ Team Leadership & Technical Teaching

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📚 Current Focus

• Corporate Workflow Automation via LLMs
• AI Agentic Fraud Detection Systems
• Real-time ML Pipelines at Scale