About

Work Experience

• Technical Project Manager, 

  Jul, 2019 - Present

  As a Technical Project Manager for Neal Analytics, I work closely with our clients to ensure successful delivery of a project from planning to delivery. With a background in data science and a proficiency in both R and Python, I am well suited to work closely with the delivery teams and our stakeholders to drive the project from both a technical and a strategic perspective.

  • Work with client stakeholders to thoroughly understand the need from a technical, strategic, and business perspective. Use this information to help identify project scope and major deliverables.

  • Regular sync with delivery teams to ensure requirements and deliverables are understood and met.

  • Employ Agile project management processes to meet project milestones and deliverables.

  • Engage regularly with client to provide updates and gather feedback to ensure high satisfaction in project progress and quality of work.

• Data Scientist, 

  Aug, 2017 - Jul, 20191 year 11 months

  As a data scientist at Neal Analytics, I worked to support one of our end clients on a long term engagement to provide data science support, expertise, and leadership for a team of five.

  • Develop, test, maintain, and deploy a set of forecast models to be used by the client and their internal partners.

  • Meet regularly with client stakeholders to prioritize backlog, communicate results and findings, and provide recommendations for future project direction.

  • Work closely with client to apply data science techniques to problems within the context and constraints of their specific domain.

• Research Scientist, 

  Oct, 2012 - Aug, 20174 years 10 months

  Performed data processing, aggregation, analysis, and visualization using Python in a highly independent environment in collaboration with a department faculty member.

  • Developed and released a public, web-based, data browser that incorporated datasets from multiple sources in order to provide a more comprehensive view of the atmospheric state.

  • Created open-source data analysis and visualization package in Python.

  • Provided feedback to data providers in order to improve the quality of publicly available scientific datasets.

  • Authored, co-authored, and generated visualizations for use in peer-reviewed journal articles and presented research topics at working group meetings and conferences.

Skills

Education

Interests