Martin Rashkov
@martinrashkov
Data Science graduate building explainable ML and interactive dashboards for real-world decisions.
NetherlandsWhat I'm looking for
I’m a Data Science graduate with a strong foundation in machine learning, applied statistics, and data visualization. I build end-to-end solutions—from multi-source data integration and feature engineering to model development and interactive dashboards—so insights land clearly with the people who need them.
In my projects, I focus on both performance and usability. For WardWatch, I trained an XGBoost model (Poisson objective) to forecast monthly burglary counts (MAE 0.29) and used SHAP and permutation/gain importance to communicate dominant risk drivers, then designed a risk-scoring and resource allocation approach with an ethics review aligned to ALGOCARE.
I also develop decision-support dashboards with thoughtful interaction design. RailShield brought 50 years of railroad incident data into a Python Dash + Plotly environment with linked views and a full preprocessing pipeline in pandas and NumPy, translating complex safety analysis into structured visual encodings and actionable patterns.
Experience
Work history, roles, and key accomplishments
National Gymnasium Natural Sci.
National Gymnasium of Natural Sciences and Mathematics
Jun 2023 - Present (3 years 1 month)
Completed studies at the National Gymnasium of Natural Sciences and Mathematics in June 2023.
Academician Lyubomir Chakalov School
Academician Lyubomir Chakalov
Completed “Academician Lyubomir Chakalov” Software and Hardware Sciences; final grade 6 out of 6 (Bulgarian scale).
Education
Degrees, certifications, and relevant coursework
Eindhoven University of Technology
Bachelor of Science, Data Science
Grade: 8.0/10 (Dutch scale)
Activities and societies: Selected work includes Sample Size Estimation for Predictive Regression, WardWatch (risk modelling/resource allocation), and RailShield (interactive safety analytics dashboard).
BSc Data Science (joint degree with Tilburg University). Developed a foundation in machine learning and applied statistics and built end-to-end solutions including data integration, feature engineering, model development, and interactive dashboards.
National Gymnasium of Natural Sciences and Mathematics
Gymnasium, Software and Hardware Sciences
Grade: 6/6 (Bulgarian scale)
Completed secondary education in Software and Hardware Sciences at the “Academician Lyubomir Chakalov” program and achieved a final grade of 6/6 on the Bulgarian scale.
Tech stack
Software and tools used professionally
Availability
Location
NetherlandsAuthorized to work in
Job categories
Skills
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