NOLWAZI MNDEBELE
Data Science/Data Analytics
Johannesburg,GP
Summary
Aspiring Data Scientist with a strong foundation in machine learning, statistical analysis, and cloud-based model deployment. Proficient in Python, SQL, Power BI, and AWS, with hands-on experience building end-to-end data solutions—including a deep learning–based satellite imagery segmentation application. Passionate about applying data science to solve real-world problems and adept at collaborating with cross-functional teams to deliver impactful, data-driven outcomes. Eager to further deepen expertise and contribute to innovative research and analytics projects.
Overview
1
1
year of professional experience
1
1
Certification
2
2
Languages
Work History
Research Assistant -Data Analytics
Ezintsha
07.2025 - Current
- Data Management: Collect, clean, and organize qualitative and quantitative data from various sources, ensuring data accuracy, consistency, and integrity.
- Data Analysis: Employ statistical methods and analytical tools (Excel, Python, SQL, Power BI) to interpret datasets, identify trends, patterns, and anomalies.
- Research Support: Assist in designing research methodologies, conducting literature reviews, and staying updated on emerging research developments to support manuscript preparation.
- Reporting & Visualization: Develop clear, insightful reports, presentations, and dashboards to communicate findings and implications to researchers and stakeholders.
- Collaboration: Work closely with multidisciplinary teams—including programmers, data analysts, and research leads—to define research needs and develop data-driven solutions.
- Documentation: Create and maintain detailed documentation of data processes, analysis workflows, and methodologies for clarity and reproducibility.
Project-based Internship
Sand Technologies
09.2024 - 11.2024
- Collected, analyzed and interpreted large datasets to extract valuable insight.
- Cleaned, prepared, and analyzed large datasets.
- Conducted exploratory data analysis to identify patterns, trends, and anomalies.
- Utilized statistical techniques (e.g., regression, hypothesis testing) to assess relationships between variables.
- Utilized Python, SQL, and PowerBI to analyze large datasets, extract actionable insights, and present findings to key stakeholders.
- Collaborated with cross-functional teams to integrate data science solutions into business strategies and operational workflows.
- Developed and implement predictive models (machine learning algorithms) to solve complex business problems and enhance decision-making processes and evaluated model performance using appropriate metrics and refined as needed.
- Built Streamlit applications for model inference and visualizing results.
- Developed and trained deep learning models (U-Net, DeepLabV3, and ResUNet) for binary segmentation of satellite imagery.
- Implemented custom data generators, data augmentation, and class balancing techniques.
- Optimized the ResUNet model by fine-tuning the learning rate, achieving superior performance in IoU and Dice metrics.
- Built a Streamlit app for model inference and visualizing segmentation results.
- Utilized AWS S3 for data storage and model deployment, ensuring scalability and accessibility.
Education
Data Science -
Explore AI Academy
12.2024
Master of Science - undefined
University of the Witwatersrand
12.2021
Bachelor of Sciences Honours - undefined
University of Limpopo
12.2018
Bachelor of Science - undefined
University of Limpopo
12.2017
Skills
Analytical & Research Skills
Strong ability to analyze complex datasets and derive meaningful, actionable insights
Skilled in statistical reasoning, hypothesis testing, and data interpretation for research applications
Technical Proficiency
Programming & Analysis: Python, SQL
Data Handling & Visualization: Excel, Power BI
Machine Learning: Deep Learning, Unsupervised Learning, Model Deployment
Natural Language Processing (NLP)
Data Management & Literacy
Solid understanding of data structures, cleaning, transformation, and integration techniques
Experienced in maintaining data integrity and preparing datasets for modeling and reporting
Problem-Solving & Communication
Strong problem-solving mindset with a focus on data-driven decision-making
Excellent written and verbal communication skills to present technical findings to diverse audiences
Exceptional attention to detail and accuracy in data analysis and documentation
Certification
AWS Cloud Practitioner
Timeline
Research Assistant -Data Analytics
Ezintsha
07.2025 - Current
Project-based Internship
Sand Technologies
09.2024 - 11.2024
Master of Science - undefined
University of the Witwatersrand
Bachelor of Sciences Honours - undefined
University of Limpopo
Bachelor of Science - undefined
University of Limpopo
Data Science -
Explore AI Academy