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

Master of Science 2021

University of Washington

Data Science and Chemical Engineering

Bachelor of Engineering 2017

University of Chester

Chemical Engineering

Work & Experience

Data Science

Cargill Inc

04/05/2021 - 07/09/2021

• 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

06/11/2018 - 08/24/2018

• 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.

Portfolio

Skills

Python
80%
Data Analytics
80%
Machine Learning
50%
Data Visualization
80%
HTML
60%
Statistical Analysis
80%
Microsoft suite
100%
SQL
50%
Matlab
80%
MS Visio
80%