Zola Sibanda

Experience

• 

  University of Pretoria

  Apr 2016 - Jun 2016

  1-Stop Tutor

  Providing students of the statistics department with any information they require in regards to tests,practicals and exams and offering any other assistance.* Assisting with SAS program installations.

• 

  University of Pretoria - Department of Statistics

  Jul 2016 - Nov 2018

  *Presenting practical Excel sessions that are enrolled for the subject which is predominantly taken by first year students in the second semester which is an introductory to basic business statistical principles and techniques.*Assisting students in how to solve test and exam like questions.*Assisting the lecturer during lecture and tutorial sessions

  • Statistics (STK133) Assistant Lecturer

    Feb 2018 - Nov 2018

  • Statistics 120 Tutor

    Jul 2016 - Feb 2018
• 

  Pearson Institute

  Feb 2019 - May 2019

  Mathematics Lecturer

  Key responsibilities include:- Lecturing and 1-on-1 student support of various Mathematics modules of different level, across programmes run on the campus.- Marking and grading of assessments.- Preparation of notes and additional study materials.- Assisting in the administration of Campus affairs and activities as required by the Academic Manager.- Working with the Group Head Office staff on developing new course materials and assessments.

• 

  Moipone Fleet

  May 2019 - Sept 2020

  Junior Data Scientist

  To discover the information hidden in vast amounts of Moipone Fleet's data and to help make smarter decisions to deliver even better products. The primary focus will be on applying data mining techniques, performing statistical analysis, and building high quality prediction systems integrated with the company's products. To find value out of the data by proactively fetching information from various sources and analysing the information to gain a better understanding about how the business performs, and to build AI tools that automate certain processes within the company. To subsequently create various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. Show less

• 

  Nestlé

  Oct 2020 - Aug 2023

  Utilise SQL, Python, and Azure service technologies to create data flow pipelines needed for extracting, transforming, and loading data from various sources. Cleanse, analyse, and interpret data using data engineering and statistical/machine learning approaches. Deliver reports and insights on a regular basis to multiple business areas and management levels; aimed at improving data quality, data management, data security and increasing business predictability and proactivity. Improve statistical efficiency and quality by devising and deploying strategic initiatives in-line with data management systems and analytics. Identify, analyse, and interpret trends/patterns in complex data sets to determine areas of improvements and information required, whilst collaborating with executive teams. Manage various data sources, develop reports, and provide valuable insights using data modelling skills. Show less Nesternship - Nestlé ESAR (East and Southern Africa Region) Virtual Internship in Data ScienceGained extensive knowledge of various techniques, including big data extraction and data mapping through the application of data engineering techniques. Developed understanding of various tools, such as Azure Data Factory, Azure Data Lake, Azure Databricks, and Power BI. Performed data analysis to identify emerging trends and developed dashboards and reports to present results through visualisations.● Achieved promotion from data science intern to data scientist within four months upon exceptional performance. Show less

  • Data Scientist

    Feb 2021 - Aug 2023

  • Data Science Intern

    Oct 2020 - Feb 2021
• 

  Vrije Universiteit Amsterdam (VU Amsterdam)

  Sept 2023 - Aug 2024

  MSc in Econometrics & Operations Research Programme Committee Student Representative

  Evaluated Econometrics track courses, enhancing learning experience by implementing students' feedback through reporting. Presented insightful findings to programme committee, contributing to enriched quality of education.

• 

  ECRE8

  Dec 2024 - now

  Data Science & Analytics Consultant