Summary
Overview
Work History
Education
Skills
Timeline

MARSHALL SHELTON

Lake Elmo,MN

Summary

Customer facing technical professional with over 5 years of experience building relationships with clients and/or implementing technical solutions.

Overview

4
4
years of professional experience

Work History

Enterprise Sales Engineer

Comet
08.2022 - Current
  • Manage and build the pre-sales relationship by selling the value of Comet, addressing pains, leading office hour calls, and aligning on testing criteria to ensure a successful sales cycle
  • Strategized with the sales team and prospects to close multiple S&P 100 logos
  • Present complex deals internally to the leadership team and externally to decision makers and stakeholders after testing the platform
  • Assist customers with integrating Comet's API into complex machine learning workflows (AWS SageMaker, AWS Lambda, GCP, Azure, MetaFlow, etc.)
  • Partner with Product and Engineering to provide customer feedback to help define the product roadmap (Jira workflow)
  • Build tailored demos with relevant infrastructure based on customer requirements to ensure Comet is compelling to a range of use cases and/or infrastructures
  • Create and present training material to the broader sales team
  • Established strong working relationships with clients through exceptional communication skills, fostering trust and collaboration

Data Science Consultant

PhData
09.2021 - 08.2022
  • Built a rules-based engine for Procter & Gamble that automated process mapping for various chemical components - saving hours of time spent on manual processes for their engineering department
  • Performed clustering on MapBox longitude/latitude mobility data to understand highly tracked areas so that retailers could determine optimal locations to implement franchises
  • Built a forecasting model for Kraft-Heinz to forecast for new products at the store level, ensuring proper stock was sent to various locations
  • Scheduled Databricks jobs and created DAG workflows for data engineering, ETL, and model training to ensure smooth running data pipelines

Data Science Consultant

ManTech
12.2019 - 09.2021
  • Member of a Data Science team that assists Customs & Border Protection with creating data-driven applications to support counter-terrorism and counter-narcotics operations
  • 9 month background investigation

Education

Bachelor of Science - Applied Statistics, Computer Information Systems

York College of Pennsylvania, York, PA

Skills

  • Python
  • Pandas/NumPy/Matplotlib
  • SQL/Snowflake/Databases
  • NoSQL databases
  • Machine Learning
  • Security Compliance
  • Relationship Building
  • Product Demonstration
  • Solution Selling
  • Technical Consulting

Timeline

Enterprise Sales Engineer - Comet
08.2022 - Current
Data Science Consultant - PhData
09.2021 - 08.2022
Data Science Consultant - ManTech
12.2019 - 09.2021
York College of Pennsylvania - Bachelor of Science, Applied Statistics, Computer Information Systems
MARSHALL SHELTON