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Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
bayesian-experimentation
July 1, 2025 – July 14, 2025
bayesian-experimentation — GitHub repository
View Projectuser-identification-from-walking-activity
November 16, 2021 – November 16, 2021
Playing around in Python (pandas, scikit-learn) after some time.
View Projectbayesian_segment_comparison
January 8, 2021 – January 8, 2021
bayesian_segment_comparison — GitHub repository
View Projectmini-bayes-shiny
November 21, 2020 – January 1, 2021
mini-bayes-shiny — GitHub repository
View Projectgoodreads_word_cloud
April 11, 2020 – August 30, 2020
Create a word cloud from reading topics on Goodreads.
View Projectsnezak_dashboard
January 26, 2020 – March 20, 2022
Project to visualize ski tours from Snezak webpage on an interactive shiny map.
View Projectceltra_data_insights_assignment
August 20, 2018 – December 8, 2022
celtra_data_insights_assignment — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus on data analysis and visualization, which aligns with the technical aspects of a Data Scientist role. However, the lack of team projects or professional experience makes it difficult to assess broader cultural fit, such as collaboration or adaptability in a professional setting. The projects show a strong inclination towards R, with some Python usage, indicating a specific technical preference.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.