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Welcome! My name is Yannik and I am a senior data scientist working on artificial intelligence research at an R&D consulting company. Before that, I earned my doctorate in statistics from UC Berkeley where I did research in theoretical machine learning. This is a place where I share my thoughts on statistics, data science, and anything else that I fancy. Feel free to explore and learn more about me and my work!
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ὗ +4072678890 yannik@pitcan.me Dr. Yannik Pitcan Dr. Yannik Pitcan Download Resume Welcome! My name is Yannik and I am a senior data scientist working on artificial intelligence research at an R&D consulting company. Before that, I earned my doctorate in statistics from UC Berkeley where I did research in theoretical machine learning. This is a place where I share my thoughts on statistics, data science, and anything else that I fancy. Feel free to explore and learn more about me and my work!
Download Resume SPECIALTIES Econometrics Time Series Machine Learning Deep Learning Cloud Computing PAST RESEARCH PROJECTS Sample complexity guarantees in optimal transportation
Elicitation of Bayesian priors
Explainable AI for time series
→ Unraveling Patterns Over Time: An Introduction to Time Series Analysis Time series analysis is a powerful tool for understanding and… Biased Coin Simulation A question I used to give in interviews was the following: I have a fair coin. How can I simulate a 1/3 probability of… Well today I'm going to discuss two solutions in detail. My WyZant Experience I don't recommend using Wyzant if you're looking to establish… your tutoring business. • • • • RESUME Education 2013 University of California, Berkeley Berkeley, California, United States Ph.D. in Statistics 2013-2021 Dissertation: An Assortment of Analyses for Optimal Transport Inspired by Domain Adaptation. Proved two new sample complexity bounds on the generalization errors of statistical methods using techniques from empirical process theory and proposed another type of distance measure called Sliced Multi-Marginal Wasserstein. 2021
2007 Harvard University Cambridge, Massachusetts, United States A.B. cum laude with Honors in Mathematics 2007-2011 Honors Thesis: Quantitative bounds for Markov chain convergence using logarithmic sobolev inequalities 2011 Skills R, Python, Spark, SQL, C/C++, Matlab, Scala Other Specialties Time series, survival analysis, regression modeling Professional Experience 2022 PerformanceStar Santa Clara, California Software Engineer November 2022 – Present Core contributor to the XAI (explainable AI) project that assists humans in understanding and interpreting the decisions made by AI. Built out regression library for XAI. Also developed a method for estimating Shapley values in time series data. Pre. 2022 Quantfury LLC Chicago, Illinois Machine Learning Researcher Jan 2022 – June 2022 Lead data engineering as well as modeling activities and effectively manage research program. Design survival analysis models and accurately assess key factors for trades to support overall trading strategy. Develop ML modules, algorithms, and analytical solutions as per research problems. Conceptualize required data pipelines in support of machine learning modules and deploy models in production environment for large-scale apps. Source, cleanse, and analyze large disparate data sets and devise as well as maintain data science best practices across all departments. Collaborate with cross-functional teams to build comprehensive solutions. Created survival analysis models to analyze driving factors for trades closing ultimately as part of a larger trading strategy. 2022 2020 Walgreens Boots Alliance Chicago, Illinois Senior Algorithms and Engineering Scientist Sept 2020 – Dec 2021 Managed Big Data project by effectively collaborating with RX analytics and “Return
to Stock” teams. Supported “Return to Stock” project by developing full model pipelines for data engineering/analytics in Azure Databricks. Built and managed algorithms during product development and support integration into applications. Researched into potential improvements to further optimize algorithm efficiency. Created feature store that reduced time other data scientists across the company spent on feature engineering by 30 percent based on metrics. Rewrote model pipelines in Pyspark to run on distributed cloud clusters instead of on premises and improved scalability for the Return to Stock project so models could run on workloads ten times larger. Recognized company-wide for work done. Revamped hiring processes and built outreach program with UC Berkeley to recruit under-represented minorities in STEM for careers at Walgreens. 2021 2012 Epic Systems Madison, Wisconsin Business Intelligence Developer July 2012 – Aug 2013 Designed business intelligence solutions as a part of “Beacon Oncology Research and Development” team. 2013 CONSULTING Overview As a dedicated statistics tutor and data science consultant, I am passionate about empowering students and businesses to excel in their respective domains. With experience spanning numerous academic levels and diverse industries, I've successfully guided over sixty clients towards tangible improvement. My areas of expertise encompass not only the core principles of statistics, but also complex topics such as Markov processes. To validate the quality of my services, references are gladly provided upon request. Scheduling Taking the first step is simple. To arrange a complimentary 15-minute consultation, reach out to me at yannik@pitcan.me. During our Zoom call, we'll discuss your unique needs and determine how my tailored tutoring or consulting services could be a perfect match for your objectives.
