data-portofolio-hardy
👋 Hi there! I’m Mahardi Setyoso Pratomo
🎯 Geospatial Data Scientist | Transforming Location Intelligence into Business Value
Currently leveraging Python and Geospatial Analytics as Product Operations Geospatial and IoT at GRAB Ltd., with a mission to integrate geospatial domain expertise across tech-driven business solutions in ride-hailing, logistics, e-commerce, and automotive sectors.
🚀 About Me
- 🎓 Education: Bachelor of Science in Geographic Information System
- 📍 Location: Jakarta, Indonesia
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🏢 Current Role: Product Operations Geospatial and IoT Python Programming at GRAB Ltd. - 🎯 Target Position: Geospatial Data Scientist/Analyst
🎯 Career Objective
Passionate Data Analyst/Scientist with specialized domain expertise in geospatial analytics, focused on integrating location intelligence into tech-driven business ecosystems. My goal is to solve complex business problems and drive market growth through strategic geospatial insights in ride-hailing, logistics, e-commerce, and automotive industries.
🛠️ Technical Skills
Programming & Analytics:
Geospatial Technologies:
🗺️ Geospatial Data Analysis • 📊 GIS • 🎯 Location Intelligence
Business & Leadership:
📈 Project Management • 🤝 Stakeholder Management • 🧠 Strategic Thinking
💼 Featured Projects
🐍 Python Development Projects
📝 Todolist App
- Business Impact: Streamlined task management with intuitive CRUD operations
- Tech Stack: Python • Streamlit • Render.com
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Timeline: 4–5 weeks Status: ✅ Completed - 🔗 Live Demo
🗺️ Geohash Extractor
- Business Impact: Democratized geospatial data extraction – no technical expertise required
- Key Features: One-click geohash extraction (1–16 digits) with instant download
- Tech Stack: Python • Streamlit • Render.com
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Timeline: 4–5 weeks Status: ✅ Completed - 🔗 Live Demo
📊 Data Science & Analytics Projects
📈 Interactive Visualization Correlation Between GDP per Province with Education Strata
- Business Challenge: Identify GDP amount each Indonesia province in correlation with education distribution
- Expected Impact: Data Visualization Map and Stats as output
- Tech Stack: Python (GeoPandas) • Streamlit
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Timeline: 4–5 weeks Status: ✅ Completed - 🔗 Live Demo App
- 🔗 Repository
🎯 Geospatial Customer Segmentation for Mobility
- Business Challenge: How to effectively group customers based on location and travel behavior?
- Expected Impact: Enhanced customer targeting and personalized mobility services
- Tech Stack: Python (Scikit-learn, GeoPandas) • SQL • Tableau/PowerBI • Streamlit
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Timeline: 4–5 weeks Status: 🚧 In Progress
🚗 Pickup Zone Optimization for Ride-Hailing
- Business Challenge: Identifying optimal pickup zones to improve driver-passenger matching efficiency
- Expected Impact: Reduced waiting times and increased operational efficiency
- Tech Stack: Python (Pandas, GeoPandas, Folium) • SQL • Matplotlib/Seaborn • QGIS
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Timeline: 7–8 weeks Status: 🚧 In Progress
📈 Predictive Analytics for Demand Forecasting
- Business Challenge: Predicting ride-hailing demand using geospatial, temporal, and external factors
- Expected Impact: Optimized supply allocation and dynamic pricing strategies
- Tech Stack: Python (Scikit-learn, XGBoost, TensorFlow) • SQL • H3-Py • Plotly Dash • Power BI
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Timeline: 7–8 weeks Status: 🚧 In Progress
🎓 Continuous Learning
- 🔬 Algorit.ma Alumni – Libra Data Science Workshop with Python and R
- ⚡ Algorit.ma Alumni – Developing Data ETL Application with PySpark and Kafka
📊 GitHub Stats
🤝 Let’s Connect!
I’m always excited to discuss geospatial analytics, data science opportunities, and innovative tech solutions!
💡 Open to Opportunities
- 🔍 Actively seeking: Data Scientist/Analyst positions
- 🚀 Specialization: Location Intelligence • Business Analytics • Tech Innovation
- 🌟 Ready to: Transform geospatial data into actionable business insights
“Bridging the gap between geospatial technology and business success, one data point at a time.” 🌍✨
⭐ If you find my work interesting, please consider giving my repositories a star!