Michael Ingram

Data Scientist

Summary

Highly motivated data scientist with 5 years of digitalization and process development experience. Proven track record in developing data-driven solutions to optimize processes, reduce costs, and improve efficiency. Pursuing opportunities to leverage data science skills to drive decision-making and insights in tech and data science.

Experience

Engineer

Amgen

Oct 2022 - Present

Developed a hybrid peristaltic filling model which uses in-silico physics and a data driven kernel for pump logic, saving scientists time and resources.
Refactored old product codebases to interface with a new user app store, increasing usability and adoptability of the tools.
Maintained in-silico models by adding features like sensitivity analysis and collaborated with process teams on use cases, reducing the number of runs needed for development.
Enhanced programing skills by following SCRUM framework and good coding practices such as code reviews and unit tests.

Associate Scientist

Amgen

Dec 2018 - Oct 2022

Developed dashboards in Spotfire for bioreactor studies and chromatography runs, saving teams hours performing analysis and standardizing the results
Developed a data processing pipeline for high throughput screening using TECANs which aided in experiment planning and standardizing results
Planned and executed experiments for multiple products and studies

Certifications

Professional Scrum Master I

Scrum.org

Certified Scrum Product Owner

Scrum Alliance

Certified SAFe ®️ Practitioner

Scaled Agile, Inc.

Deep Learning Specialization

Coursera

Education

M.S. in Data Science
Tufts University
Jan 2022 - Dec 2023
B.S. in Chemical Engineering
University of Connecticut
Aug 2012 - May 2016

Skills

Programming Languages
- Python
- R
- SQL
Software & Tools
- Git/GitLab
- Spotfire
- Electronic Lab Notebooks
- Data Lakes
Techniques
- Machine Learning
- Data Analytics & Visualization
- Statistics & Probability
- Natural Language Processing
- Scrum & SAFe Methodologies