Data Science Graduate Assistant

Yusuf W. Zakaria

740-***-**** *********@******.** LinkedIn: https://www.linkedin.com/in/yusuf-zakaria-136065260 PERSONAL PROFILE

An adaptable Engineer with keen interests in Optimization and Data Science. I am self-motivated, hardworking and a good communicator. Seeking a career where problem solving, and people skills are pivotal to success. EDUCATION

Ohio University Athens, OH 8/2022 − Current

Master of Science in Industrial and Systems Engineering University of Mines and Technology Tarkwa, Ghana 9/2014 – 5/2018 Bachelor of Science in Mechanical Engineering

EXPERIENCE

Ohio University, Department of Industrial and Systems Engineering Athens, OH 8/2022 – Current Graduate Assistant

• Assist with the planning and grading of teaching materials for the undergraduate class.

• Researched on Risk Management Policies for Transportation Agencies; a Research On-Call funded by the Ohio Department of Transportation.

dr SCHIST GHANA Ltd. Tarkwa, Ghana 4/2020 – 5/2022

(Hardware, Errand, Mining, Construction & Logistics Service Provider) Sales Engineer

• Championed data integration efforts to aid data driven decision-making.

• Analyzing sales data to discover trends and patterns while implementing segmentation for efficiently targeting valuable customers, which increased sales volume by up to 20 percent.

• Implemented prediction models and built dashboards for visual communication and BI purposes.

• Performed sales consulting, monitoring and evaluation of sales performance, operations budgeting, and reporting. Ghana National Petroleum Corporation, (GNPC) Tema, Ghana 9/2018 – 8/2019 Facilities Engineer

• Critically analyzed historical data on upstream oil and gas production system, Subsea Production Systems, and flow assurance problems to find solution to the frequent Gas Compressor failure on the TEN oilfield and presented findings and recommendations to review committee and Asset Heads.

• Synthesized and contrasted previous production enhancement and remediation project reports, completion techniques, equipment choice -in a Concept Selection effort- for input into the Basis of Design (BoD) documentation of the upcoming Aker Energy field with colleague Aker team members.

• Gained working understanding of global energy market and trends, oil and gas trading specification and marketing for strong basis of project model building, with the use of QUE$TOR application to support project decision on the Aker oil field.

• Mentored a batch of about 20 interns, introducing them to topsides and subsea operations in TEN, Jubilee and OCTP offshore fields, OCPL Decommissioning project, concept selection in oilfield development. PROFESSIONAL DEVELOPMENT/AFFILIATIONS

• Member, Institute of Industrial and Systems Engineering (IISE) 8/2022 - Current

• Reviewer, Graduate Student Senate (GSS), Original Work Grant Reviewer 10/2022 - Current

• Executive Member, Ghana Institution of Engineers (GhIE) 11/2016 – 11/2019

• Student Member, West African Institute of Mining, Metallurgy and Petroleum (WAIMM) 11/2015 – 5/ 2018

• Student Member, Australasian Institute of Mining and Metallurgy (AusIMM) 11/2015 – 5/2018 RELEVANT CERTIFICATIONS

Click to view certificates for both Specializations and Courses:

• Build a Modern Computer from First Principles: From Nand to Tetris, Coursera, Hebrew University of Jerusalem

• An Intuitive Introduction to Probability – Decision Making in an Uncertain World, Coursera, University of Zurich

• Data Science Math Skills, Coursera, Duke University

• Introduction to Machine Learning, Coursera, Duke University

• Introduction to Java, Coursera, LearnQuest

• Mathematics for Machine Learning Specialization (1/3 Courses), Coursera, Imperial College of London

• IBM Data Analytics with Excel and R Specialization (8/8 courses), Coursera, IBM

• Data Science Fundamentals with Python and SQL Specialization (5/5), Coursera, IBM

• Hands-on Introduction to Linux Commands and Shell Scripting; Introduction to Cloud Computing; What is Data Science?; Data Science Methodology

• Energy Production, Distribution & Safety Specialization (4/4 courses), Coursera, The State University of New York SKILLS

• SOFTWARES: Python, R, SQL, Power BI, Tableau, PostgreSQL, MySQL, MS SQL SERVER, CPLEX, AMPL, LINGO, MINITAB.

• COMPETENCIES: Data analysis, Data handling, Data cleaning, Data pre-processing, Data visualization, Dashboard and reporting, Statistical analysis, Linux and Shell scripting, etc.

• LIBRARIES: Python (NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, etc), R (Tidyverse: Tidyr, Dplyr, Readr, Purr, ggplot2, etc.), Machine Learning Techniques (Linear Regression, Logistic Regression, Support Vector Machines, KNN, Neural Nets and Deep Learning, Gradient Boosting, Decision Trees, Random Forests, etc.)

• Operations Research and Optimization: LP, MIP and NLP Solvers (AMPL, LINGO, CPLEX, Solver in Excel) Industrial Simulation, Lean and six-sigma, data statistics and analysis with Excel, Python, R, and SQL databases.

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