Reloef Khoza

Developed comprehensive business intelligence reports across the organization, supporting production managers and executive board members with key performance indicators (KPIs) and actionable insights. Created real-time dashboards to track production progress and defects, financial dashboards for budget vs. actual comparisons, and an attendance management dashboard.

Automated KPI reports for EMEA regional managers within the finance department. Connected to the Oracle database and utilized DAX scripts to analyze and formulate KPIs for tracking manager performance and revenue optimization. Presented KPIs on Microsoft Excel and Power-BI.

Led a team of three data science interns, completing a cloud migration of SAP data and internal servers for multiple clients. Developed numerous ETL pipelines and automated multiple business intelligence reports for the Central Bank. Integrated multiple data sources for a cement manufacturing client to provide real-time KPIs and predictive analysis.

Specialized in crafting efficient data scraping and cleaning pipelines using Logstash and Python. Ensured seamless data flow into MySQL databases through expertise in ETL processes, maintaining data integrity and accessibility. Developed automated pipelines with set triggers for continuous data updates and versioning, with reports visualized using OpenSearch.

Developed Machine Learning models to predict student performance based on historical data using Python. Built various interactive recommender dashboards for students and teachers to track performance, improve content, and flag potential failures using Google Data Studio. Connected to AWS S3 bucket data and hosted models in AWS EC2.

Built a movie recommender machine learning model using Python and Streamlit. Developed an electricity load reduction predictive model for a renewable energy firm using weather patterns historical data. Created a sentiment classification machine learning model for a green activist organization using Python and OpenSearch.

Participated in an engineering mentorship program within the Aeronautical Manufacturing and Process Department. Responsible for gap analysis, engineering investigation, and technical validation of Airbus A320 and SAFRAN interior components production. Achieved objectives using advanced Excel optimization tools, SAP, and Matlab.

Completed an NQF-5 Certificate in Systems Development and Data Science. Gained foundational knowledge and practical skills in data science methodologies and system development.

Grade: pending

Pursued a BSc degree in Aeronautical Engineering with Honors. Focused on advanced engineering principles and their application in aeronautics.

Grade: 6 distinctions

Completed matriculation with a focus on Mathematics and Science. Achieved 6 distinctions, demonstrating strong academic performance in core subjects.