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\begin{document}
\name{CLAYTON YOCHUM \hspace{2.17in} Data / ML / Platform Engineer}


\begin{resume}

  \vspace{-.15in}
  \hfill
  \begin{tabular}{l}
    Salt Lake City, UT                                                     \\
    \href{http://www.linkedin.com/in/claytonjy}{linkedin.com/in/claytonjy} \\
    \href{https://github.com/claytonjy}{github.com/claytonjy}              \\
    \href{mailto:claytonjy@gmail.com}{claytonjy@gmail.com}                 \\
  \end{tabular}
  
  
  \section{EXPERIENCE}
  
  \begin{tabular}{p{4.6in} l}
    {\bf Staff Data Engineer, Data Science Enablement \& Operations} & \emph{June 2022 - January 2023} \\
    \href{https://socure.com}{\it Socure}                            & \emph{Remote}                   \\
    DS support and ML platform at late-stage identity verification startup
  \end{tabular}
  \vspace{2pt}
  \begin{itemize}\itemsep -2pt
    % \item Lead engineer on Data Science Enablement and Operation team
    \item Maintained largest Airflow pipeline for onboarding new customers and models
    \item Cooperated with offshore development team to validate and integrate their services
    \item Created new internal python packages enabling more robust pipelines
    \item Introduced new tools to team like Poetry, Pydantic, mypy, and Gitlab CI.
  \end{itemize}
  
  \begin{tabular}{p{4.6in} l}
    {\bf Lead Engineer, Data Engineering}         & \emph{June 2021 - December 2021} \\
    \href{https://betterment.com}{\it Betterment} & \emph{Remote}                    \\
    Centralized data engineering at late-stage fintech
  \end{tabular}
  \vspace{2pt}
  \begin{itemize}\itemsep -2pt
    \item Rewrote core reporting pipelines in Airflow from R to Python
    \item Introduced Pydantic into team toolkit for new AWS Lambda tasks
    \item Simplified developer experience of DE platform, increasing contributions by other teams
  \end{itemize}
  
  \begin{tabular}{p{4.6in} l}
    {\bf Senior Staff Engineer, Data Science / Cloud Platform} & \emph{March 2019 - May 2021} \\
    \href{https://everactive.com/}{\it Everactive, Inc.}       & \emph{Ann Arbor, MI}         \\
    First data hire at series B industrial-IOT startup
  \end{tabular}
  \vspace{2pt}
  \begin{itemize}\itemsep -2pt
    % \item First Data Science hire at pre-IPO industrial IOT startup
    \item Migrated hundreds of millions of IOT packets into TimescaleDB
    \item Technical lead for company-wide API consolidation project spanning multiple years
    \item Negotiated strict JSON Schema contracts with hardware teams
    \item Led shift towards event-driven platform architecture on Kafka
    \item Wrote python libraries, AWS ECS services for automated failure detection from sensor data
    \item Involved in all stages of hiring pipeline for subsequent Data Science hires
  \end{itemize}
  
  \begin{tabular}{p{4.6in} l}
    {\bf Data Science Engineer}                                         & \emph{March 2016 - February 2019} \\
    \href{https://www.methodsconsultants.com/}{\it Methods Consultants} & \emph{Ypsilanti, MI}              \\
    Lead engineer at boutique data science \& statistics consulting firm
  \end{tabular}
  \vspace{2pt}
  \begin{itemize}\itemsep -2pt
    \item Architected cloud infrastructure for client solutions in AWS \& GCP
    \item Built ML-powered trading platform for hedge fund on Kubernetes (GKE), Docker, R, Python
    \item Analyzed billions of rows of geolocation data with R, OpenStreetMap \& AWS
    \item Developed and taught a data science workshop to analysts at a large federal institution
    \item Contributed technical content to \href{https://blog.methodsconsultants.com}{company blog}
    \item Wrote job descriptions for, interviewed, and trained new hires
  \end{itemize}
  
  \begin{tabular}{p{4.6in} l}
    {\bf Data Analyst}                                                                            & \emph{August 2015 - December 2017} \\
    \href{https://www.ssw-datalab.org/}{\it Child \& Adolescent Data Lab, University of Michigan} & \emph{Ann Arbor, MI}               \\
    Part-time industry consultant for data-driven social work lab
  \end{tabular}
  \vspace{2pt}
  \begin{itemize}\itemsep -2pt
    \item Wrote processing code in R for large, messy, semi-structured administrative data
    \item Created R packages for use across lab
    \item Lectured to School of Social Work community on git for data analysis
  \end{itemize}
  
  \begin{tabular}{p{4.6in} l}
    {\bf Business Intelligence Analyst}                       & \emph{March 2013 - February 2016} \\
    \href{https://www.barracuda.com/}{\it Barracuda Networks} & \emph{Ann Arbor, MI}              \\
    Founding member of Analytics Department within Network Operations
  \end{tabular}
  \vspace{2pt}
  \begin{itemize}\itemsep -2pt
    \item Processed terabytes of data in R to understand customer data deduplication patterns
    \item Built and managed a large MySQL data warehouse to enable longitudinal analyses
    \item Created internal R packages and Shiny applications to predict data center usage
  \end{itemize}
  
  
  \vspace{3pt}
  
  
  \section{EDUCATION}
  
  \begin{tabular}{p{4.6in} l}
    {\bf Michigan Technological University}                & \emph{April 2012}   \\
    Bachelor of Science in Mathematics, minor in Economics & \emph{Houghton, MI} \\
  \end{tabular}
  
  
\end{resume}
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