Nick Martin
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ML @ EvenUp
Toronto, Ontario, Canada
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Jobs
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Machine Learning EngineerEvenupJul 2023 - Current (3 years 4 months)Working on problems in Generative AI and Search.- DData ScientistSep 2022 - Jul 2023 (11 months)Programmatic Advertising - Real-Time Bidding
- Data Scientist InternIntactMay 2022 - Aug 2022 (4 months)Telematics - Usage-Based Insurance
- Machine Learning ResearcherUniversity of TorontoNov 2021 - May 2022 (7 months)Supervised by Sebastian Jaimungal and Ziteng Cheng Built machine learning models with applications to finance such as: robust portfolio allocation and statistical arbitrage Implemented risk-aware reinforcement learning algorithms that account for randomized costs and assess risk
- Software EngineerStealth StartupJun 2021 - Nov 2021 (6 months)Designed, built, and tested data pipelines aggregating high throughput, real-time data from multiple APIs with Python; responsible for 100% of the company’s data infrastructure Onboarded and managed a team of software engineers using Notion and Trello; resulted in flexible and scalable code that handled the needs of the evolving startup Worked closely with the CEO to create a tailored database architecture
- Research AssistantUniversity of TorontoMay 2019 - Aug 2019 (4 months)Worked in the Hilfinger Lab where I implemented simulations in C++ to provide evidence for bounds in stochastic biochemical reaction networks Redirected and optimized the lab’s research focus through programmatic conjecture verification
- DData AnalystMay 2019 - Aug 2019 (4 months)Developed data pipelines along with dashboards using R; increased the design team time efficiencies by over 200% with statistical summaries and visualizations of city census data from the WCCD database Consulted executives on statistically informative ways to display data; suggestions were implemented in a report, “WCCD City Data for the United Nations Sustainable Development Goals”
- Teaching AssistantUniversity of TorontoSep 2018 - Apr 2022 (3 years 8 months)STA130: An Intro to Statistical Reasoning & Data Science STA220: The Practice of Statistics 1 STA302: Methods of Data Analysis 1 MATA29: Calculus 1 for the Life Sciences Prepared and supervised weekly tutorials as well as graded assignments
Education
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- University of Toronto — Master of Science StatisticsUniversity of TorontoCourses: - Methods of Applied Statistics 1 and 2 (Graduate Level) - Graduate Probability Theory - Mathematical Statistics - Computational Inference and Graphical Models - Monte Carlo Methods - Research Topics in Machine Learning: Minimizing Expectations - Research Topics in Multidisciplinary HCI: Designing Intelligent Self-Improving Systems Through Human Computation, Randomized A/B Experiments and Statistical Machine Learning
- University of Toronto — Honours Bachelor of Science Mathematics and StatisticsUniversity of TorontoRelevant Courses: - Neural Networks and Deep Learning - Methods of Data Analysis 1 and 2 - Software Design - Statistical Methods for Machine Learning 2 - Methods of Applied Statistics