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Dr. Yannik Pitcan
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Dr. Yannik
Pitcan
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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!
Download Resume
SPECIALTIES
Econometrics
Time Series
Deep Learning
Machine Learning
Cloud Computing
PAST RESEARCH PROJECTS
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Sample complexity guarantees in
Elicitation of Bayesian priors
Explainable AI for time series
optimal transportation
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Concentration Inequalities:
Bounds on Random
Variables
Unraveling Patte
Time: An Introdu
Time Series Ana
Concentration inequalities are powerful
tools in probability theory and statistics
for bounding the deviation of random…
Time series analysis is
understanding and for
evolves over time. From
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RESUME
Education
2013
2022
University of California, Berkeley
Berkeley, California, United States
PerformanceStar Santa Clara,
California
Ph.D. in Statistics 2013-2021
Software Engineer November 2022 – Present
Dissertation: An Assortment of Analyses for Optimal
T ransport Inspired by Domain Adaptation.
Core contributor to the XAI (explainable AI) project
that assists humans in understanding and
interpreting the decisions made by AI.
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
Built out regression library for XAI.
Also developed a method for estimating Shapley
values in time series data.
Pre.
2022
2007
Harvard University Cambridge,
Massachusetts, United States
A.B. cum laude with Honors in Mathematics 20072011
Honors T hesis: Quantitative bounds for Markov chain
convergence using logarithmic sobolev inequalities
2011
Professional Experience
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
Skills
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.
R, Python, Spark, SQL, C/C++, Matlab, Scala
Created survival analysis models to analyze driving
factors for trades closing ultimately as part of a
larger trading strategy.
Other Specialties
2022
T ime series, survival analysis, regression modeling
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 underrepresented minorities in ST EM 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
Scheduling
As a dedicated statistics tutor and data science
consultant, I am passionate about empowering students
Taking the first step is simple. To arrange a complimentary
15-minute consultation, reach out to me at
and businesses to excel in their respective domains. With
experience spanning numerous academic levels and
yannik@pitcan.me. During our Zoom call, we'll discuss your
unique needs and determine how my tailored tutoring or
diverse industries, I've successfully guided over sixty clients
towards tangible improvement. My areas of expertise
consulting services could be a perfect match for your
objectives.
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.
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