Business Analytics, Project Management
Resume:
Mokete Mashala
Boston, MA USA +1-617-***-**** ******.*******@*****.*** https://www.linkedin.com/in/mokete-mashala/ https://github.com/moketemashala https://public.tableau.com/app/profile/mokete.mashala Projects
Wells Fargo portfolio analyses, Hult International Business School Boston, MA December 2022
Conducted in-depth portfolio analysis on over 1 million rows of data using SQL to identify actionable insights on stocks to buy, sell or hold. Resulted in a 33% portfolio performance improvement.
Developed visualizations and presentations to communicate portfolio analysis results to clients. Successfully presented complex financial data in a clear and concise manner. Old Navy Data Statistical Analysis, Hult International Business School Boston, MA October 2022
Applied statistical hypothesis testing and feature engineering techniques to develop a Linear Regression model for predicting future profits, resulting in business recommendations to improve profit margins.
Analyzed and interpreted data using statistical software such as Python, if implemented, would provide clear and actionable insights to senior management.
Professional Experience
Sasol Gauteng, South Africa March 2017 - September 2019 Engineering Manager
Successfully managed a multi-disciplinary team of engineers to deliver engineering projects on time and within budget, resulting in a 25% increase in production capacity.
Developed presentations and monthly reports to communicate project progress and milestones to executive sponsors. Resulted in a reduction in project risk and improved communication between business units.
Analyzed engineering cost claims to control final project within approved budget. Monitored project schedule dates to meet scheduled milestones and completion dates.
Collaborated cross-functionally with project team members, engineering contractors, construction contractors, and operations team to commission a low-pressure compressing facility. Achieved best project team award.
Cultivated strong business relationships with production managers to reduce lead time from processes.
Coached 4 process engineers to enhance technical competencies leading to promotion. Sasol Gauteng, South Africa January 2007 - September 2019 Senior Process Engineer
Conducted operational data analysis and used statistical methods to identify trends and patterns in large production data sets to optimize operating parameters and recommend process improvements.
Performed regular data audits to identify and resolve inconsistencies and errors in heat and material balances, resulting in a 5% reduction in errors on approved heat and material balances.
Collaborated with cross-functional teams to define business problems and recommend data-driven solutions.
Performed data analysis on process operating test runs to prove design intent of operating facilities resulting in approval of installed equipment operating 100% as per project design intent.
Translated analytical findings of manual dosing to develop automated solutions for business, resulting in improved final product specification and 16% reduction in facility manual operations.
Gained strong background in process design, project management, construction, and contractor relationship management enabling successful beneficial operations of production facilities.
Communicated findings and recommendations to stakeholders through visualizations and presentations. Education
Master of Science in Business Analytics Expected April 2023 Hult International Business School Boston, Massachusetts Dean’s List, GPA 3.64/4.0 Master of Business Administration, MBA August 2022 Hult International Business School Boston, Massachusetts Dean's List, GPA 3.84/4.0 Bachelor of Science in Chemical Engineering December 2006 University of Cape Town Western Cape, South Africa Technical Expertise
Languages: English
Software and Visualization Tools: Python, R, SQL, Microsoft (Word, Excel, PowerPoint), Power BI, Tableau Certifications: Data Camp: SQL Data Analyst. Business Statistics and Analysis (Rice University on Coursera)
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