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Geospatial Intelligence & Advanced Analytics

Combining 25 years of financial expertise with cutting-edge geospatial data science, machine learning, and full-stack web applications to unlock strategic insights from complex datasets.

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From Finance
to Data Science

With 25 years of experience in the financial sector, I have witnessed the industry's digital transformation and the critical role data plays in strategic decision-making.

Based between the coasts of Schleswig-Holstein and Berlin's thriving tech ecosystem, I combine financial domain expertise with advanced data science capabilities.

My current focus is on geospatial intelligence, mineral analytics, and full-stack web applications β€” building sophisticated models that extract actionable insights from complex datasets.

I specialize in building production-grade data systems, from ETL pipelines to interactive dashboards, with an emphasis on explainability, robustness, and business impact.

25
Years of Seniority
πŸ“Š Financial Markets πŸ—ΊοΈ Geospatial Analytics πŸ€– Machine Learning

Specialized Domains

πŸ—ΊοΈ Geospatial Data Science

  • GeoPandas & Spatial Analysis
  • GIS Data Processing
  • Mineral & Resource Intelligence
  • Spatial Clustering & Modeling

πŸ€– Advanced Machine Learning

  • XGBoost Ensemble Methods
  • Feature Engineering & Selection
  • SHAP Model Explainability
  • Cross-Validation & Evaluation

🌐 Full-Stack Web Applications

  • Reflex Framework (Python-based)
  • MapLibre GL JS Integration
  • Interactive Dashboards
  • Real-time Data Visualization

πŸ“Š Data Engineering & ETL

  • ETL Pipeline Design
  • Parquet & GeoJSON Processing
  • PostgreSQL & MongoDB
  • Scalable Data Architecture

πŸ’Ό Financial Analytics

  • Portfolio Optimization
  • Risk Modeling & Mitigation
  • Predictive Analytics
  • Business Intelligence

πŸ“ˆ Data Visualization

  • Interactive Maps (MapLibre)
  • Streamlit Applications
  • Power BI Dashboards
  • SHAP & Matplotlib Plots

Recent Work

πŸͺ¨ EMI ExploreIQ

Full-stack mineral intelligence dashboard for exploration claim management in Kongsberg, Norway. Real-time WFS integration, geochemical anomaly visualization, and prospectivity scoring with XGBoost.

Reflex GeoPandas MapLibre XGBoost

πŸ“Š Streamlit Analytics

Interactive data exploration and visualization platform. Statistical modeling, EDA dashboards, and real-time data filtering for financial and geospatial datasets.

Streamlit Pandas Plotly SQL

πŸ€– ML Model Development

End-to-end machine learning pipeline from feature engineering through deployment. Ensemble methods, cross-validation, and SHAP-based explainability for interpretable predictions.

Scikit-learn XGBoost SHAP EDA

My Tech Stack

Python & Web Frameworks

  • Reflex (Full-Stack)
  • Streamlit
  • FastAPI
  • Git & GitHub

Geospatial & GIS

  • GeoPandas
  • GIS Data Processing
  • Spatial Statistics
  • MapLibre GL JS

Machine Learning & Data Science

  • XGBoost & Ensemble Methods
  • Scikit-learn
  • SHAP Explainability
  • Pandas & NumPy

Data Engineering & Databases

  • ETL Pipeline Design
  • Parquet & GeoJSON
  • PostgreSQL & MongoDB
  • SQL

Data Visualization

  • Interactive Maps (MapLibre)
  • Plotly & Altair
  • Power BI
  • Matplotlib & Seaborn

Tools & Platforms

  • Jupyter Notebooks
  • VS Code
  • Terminal & Bash
  • GitHub Actions
Frank Hasdorf

Freelance Financial Data Scientist

Berlin & Schleswig-Holstein, Germany

Let's Build Something
Meaningful Together.

Whether you need geospatial intelligence, advanced ML models, or a full-stack data application β€” let's explore what's possible.

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