Seth Chart, PhD
Highly skilled data professional with expertise in machine learning, Python,
SQL, cloud platforms, and DevOps. Experienced in operationalizing ML pipelines,
developing data processing pipelines, creating customer-facing dashboards, and
optimizing data storage solutions. Strong background in mathematics and a
proven track record of delivering impactful solutions. Seeking opportunities to
leverage technical skills and contribute to data-driven initiatives.
Contact Information
Employment History
Data Engineer
Kollective Technology, April 2022 to Present
- Designed forecasting and anomaly detection pipeline leveraging Prophet
forecasting framework and associated GitHub based CI/CD workflows.
- Developed and optimized PySpark streaming data processing pipelines.
In one case resulting in a 24x reduction in processing time.
- Created customer-facing Looker dashboards to visualize diagnostic data,
offering a distinctive selling point for our sales team and setting us apart
from competitors.
Data Scientist
Trusted Media Brands, April 2021 to April 2022
- Built and maintained batch data processing pipelines using BigQuery,
Dataform, and Apache Airflow.
- Designed internal business reporting dashboards using Google Data Studio and
Looker.
- Contributed to various data analytics projects, providing valuable insights
for decision-making.
Database Manager
Immune Deficiency Foundation, May 2019 to April 2021
- Played a key role in database integration projects, ensuring seamless data
flow and consistency.
- Developed a Python script that facilitated geographical partitioning of
constituent communications, enabling targeted communication for
location-based fundraising initiatives.
Lecturer
Towson University, August 2016 to May 2019
- Taught a variety of undergraduate and graduate mathematics courses,
delivering engaging and informative lectures.
- Administered a pilot peer tutoring program for undergraduate statistics
students, improving academic performance.
- Received a Project NExT teaching fellowship, fostering professional
development in mathematics education.
Education
Doctor of Philosophy
University of Victoria, August 2011 to May 2016
- Conducted research in Ergodic Theory and Dynamical Systems, utilizing
probability theory to study statistical properties of evolving systems.
Master of Science in Mathematics
Montana State University, August 2009 to May 2011
Bachelor of Science in Mathematics
Montana State University, August 2005 to May 2009
Technical Skills
- Programming Languages: Python, R, MATLAB.
- Query Languages: SQL, jq.
- Tabular Data Stores: Delta Lake, Citus, BigQuery, MySQL.
- Packages: PySpark, PyFlink, Scikit-learn, Prophet, XGBoost, Pandas.
- Business Intelligence Software: Looker, Data Studio.
- DAG Orchestration: Apache Airflow, Dataform, cron.
- Cloud Computing Platforms: Microsoft Azure, Google Cloud Platform.
- Source Code Hosting: GitLab, GitHub.
- Version Control Software: Git.