Salek Segid
About Me
I have a Master of Science in Chemical Engineering & Data Science with knowledge and experience in Chemical Production, Data Visualization, Statistical & Data Analytics, and Machine Learning algorithms. Developed predictive models to solve engineering problems. You will also find me respected for adapting to versatile positions, working in international environments, and leading teams to deliver school projects.
Education
University of Washington
Data Science and Chemical Engineering
University of Chester
Chemical Engineering
Work & Experience
Data Science
Cargill Inc
• Partnered with Cargill to pioneer a software pipeline that would predict ADME features of drugs that are in discovery. • Successfully built a machine learning model that would predict several features of ADME using existing data. • Upon completion of the project, a strong correlation between the actual and predicted features was achieved. • Package and work can be found at: https://github.com/Cargill-Capstone2021/ADME-modeling-for-Cargill
Computational Fluid Dynamics
Menatech Limited
• Utilized ANSYS Fluent CFD simulations to decrease gas holdup in an Airlift bioreactor by 10%. • Theoretically validated a simulation of a two-phase flow within an Airlift bioreactor using ANSYS FEA. • Remediated microbial growth by 50% by identifying areas of turbulent flow.