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fqih/README.md

Muhammad Faqih Hakim

Data Science | AI/ML Engineer | Analytics

πŸ“§ mhmdfkih21@gmail.com | πŸ”— Linkedin | πŸ’Ό Portfolio: faqihhakim.tech

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Contribution Streak


πŸ‘¨β€πŸ’» 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.


πŸ’Ό 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

πŸ† 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

πŸš€ 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 β†’ National competition (3rd place)

πŸ’» Tech Stack

Languages

Python R SQL JavaScript

Data Science, AI & Deep Learning

TensorFlow PyTorch Keras scikit-learn Pandas NumPy
Hugging Face LangChain Matplotlib Seaborn Plotly OpenCV

Data Engineering & Infrastructure

Apache Kafka Docker Neo4j Qdrant GCP BigQuery

Tools, Frameworks & Platforms

Streamlit FastAPI Jupyter Postman Git Linux

Analytics & Visualization

Tableau Power BI KNIME Roboflow

🎯 Core Competencies

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


πŸ“š Current Focus

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

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