Data Analyst | Machine Learning Engineer
Turning complex data into clear insights and impactful products. I build practical analytics and AI solutions across safety, healthcare, public-sector intelligence, and digital experiences.
232K+
NLP records analyzed
27+
Portals automated in pipeline
5,000+
Comments processed for sentiment analysis
I am a Data Science graduate with strong proficiency in Python, SQL, and R, focused on turning complex datasets into actionable insights. My work spans computer vision, NLP, ensemble learning, and data automation across public services, healthcare, transportation safety, and digital products.
Alongside technical execution, I bring leadership and collaboration experience from academic communities and project teams. I care about practical outcomes, clean delivery, and solutions that are valuable to stakeholders.
Problem: Early identification of suicidal ideation from large-scale social text data.
Stack: Python, Scikit-learn, TF-IDF, NLP
92.9% accuracy and 98.2% ROC-AUC on 232K Reddit posts.
Supports mental-health initiatives through early warning insights.
Read full case studyProblem: Improve early prediction quality for liver disease cases.
Stack: Python, CatBoost, XGBoost, LightGBM, Random Forest, SVM, Logistic Regression
82.85% accuracy, 91.28% AUC, and 85.19% precision.
Improves diagnostic support and reduces misdiagnosis risks.
Read full case studyProblem: Prevent road accidents caused by driver fatigue.
Stack: TensorFlow, Mediapipe, GRU, Android Studio, Kotlin, TFLite
78% accuracy/precision/recall/F1 in real-time detection.
Delivers early warnings to improve rider safety.
Read full case studyProblem: Manual news collection was slow and fragmented for analysis.
Stack: Python, Flask, SQLite, BeautifulSoup, Pandas
Automated ingestion from 27+ portals with structured exports.
Speeds up public-sector monitoring and insight generation.
Read full case studyJul 2025 - Sep 2025
Badan Pusat Statistik (Brebes)
Built INNOVA desktop automation, published 3 official reports, and analyzed 5,000+ public comments.
Sep 2025 - Nov 2025
Badan Pusat Statistik (Brebes)
Processed and validated resident/family data and map layers across 200 SLS units using QGIS and ArcGIS.
Oct 2025 - Jan 2026
Telkom University Purwokerto
Delivered hands-on SPSS sessions and authored 8 practical modules for statistical reporting.
Oct 2023 - Jan 2024
Telkom University Purwokerto
Taught R and Minitab, developed 13 modules, and mentored 34 students in applied statistics.
Dec 2025
Data Slayer 3.0 (Favorite Champion Award)
Built an award-winning dashboard on Indonesia digital divide trends using CRISP-DM with prescriptive policy recommendations.
Python, R, SQL, Excel, SPSS, EViews
TensorFlow, Keras, PyTorch, NLP, Computer Vision, Ensemble Learning
Flask, Git, Docker, SQLite, Android Studio, Kotlin, TFLite
Google Cloud Run, API integration, data automation
Critical thinking, communication, leadership, teamwork
English (EPrT 532/677), Indonesian (native)
Telkom University Purwokerto
Bachelor of Data Science | GPA 3.90/4.00 | Oct 2022 - Jan 2026
I am open to opportunities in Data Analytics, Machine Learning, and AI-driven product development.
Email: naufalfarrabi12@gmail.com
Phone: +62 821-3381-9601
LinkedIn: linkedin.com/in/muhammad-naufal-farabbi