Stefan Schneider
Data AnalystPhD Artificial Intelligence Research
Rave
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD Artificial Intelligence Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Researching optimal solutions for big data using machine learning. Pursuing the creation of artificial intelligence premised around evolutionary objectives
University of Guelph
Master of Science (MSc), Ecology, Evolution, Systematics, and Population Biology
January 1, 2011 – January 1, 2013
University of Waterloo
Science & Business, Environmental Science
January 1, 2006 – January 1, 2011
Rave
Senior Machine Learning Engineer
May 1, 2019 – Present
Waterloo, Ontario, Canada · Remote
University of Guelph
PHD Artificial Intelligence Researcher
March 1, 2017 – June 1, 2021
Guelph, Ontario
Mercury Intelligence
Data Scientist
May 1, 2016 – May 1, 2017
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
Coursera
June 24, 2026 – Present
Graph Search, Shortest Paths, and Data Structures
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Coursera
June 24, 2026 – Present
Probabilistic Graphical Models 1: Representation
Coursera Course Certificates
June 24, 2026 – Present
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning Engineering and AI Research. While these skills are valuable, the target role is 'Data Analyst'. This represents a significant shift in focus from model development and research to data interpretation, reporting, and business intelligence. The project diversity is limited to AI/ML applications, and there's no explicit mention of traditional data analysis, SQL proficiency, or BI tool experience, which are typically core to a Data Analyst role. This indicates a potential mismatch with the specific requirements of a Data Analyst position, suggesting a lower cultural fit for this particular role.
Soft Skills & Operational Fit
The candidate's resume highlights experience in research and development roles, suggesting strong problem-solving and analytical skills. The descriptions of managing data and optimizing user experience imply an operational fit for data-driven roles. However, without psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.