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Geospatial ML Engineer | Geospatial Data Scientist | Computer Vision Engineer
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Assessing your cultural and operational fit
TomTom
Data Scientist
June 18, 2026 – Present
Collaboration-Competition-DRLND-Udacity-Project-3
February 6, 2022 – February 8, 2022
Collaboration-Competition-DRLND-Udacity-Project-3 — GitHub repository
View ProjectContinuous-Control-Deep-Refinforcement-Learning-Udacity-Nanodegree
January 30, 2022 – January 31, 2022
Project 2: Continuous-Control-Deep Refinforcement Learning Udacity Nanodegree
View ProjectNavigation-Deep-Reinforcement-Learning-Nanodegree
December 19, 2021 – January 8, 2022
Navigation-Deep-Reinforcement-Learning-Nanodegree — GitHub repository
View Projectmonte-carlo-simulation
May 29, 2020 – August 2, 2020
Monte Carlo Simulation of Monty Hall Problem
View Projectjava_geospatial_vector_raster_transformation
September 17, 2019 – October 18, 2021
java_geospatial_vector_raster_transformation — GitHub repository
View ProjectHackerrank-ProjectEuler
August 31, 2016 – November 22, 2016
Solved Problems of Project Euler Contest on Hackerrank
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong interest in advanced ML and DRL, which aligns with an innovative and research-oriented culture. The diversity of projects, including some in Java and C++, suggests adaptability, though the primary focus is clearly on Python-based data science. The current role as a Data Scientist at TomTom indicates a professional fit for data-driven environments. However, the lack of team-based projects or explicit collaboration descriptions limits the assessment of cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.