Ngwenya Thaba

• Oversaw operational efficiency of school by liaising with contractors and maintenance teams for timely upkeep.
• Directed procurement processes for educational resources and necessary consumables for school functions.
• Engaged with parents to uphold safety standards and foster a secure environment for children.
• Recruited and hired staff for organisational vacancies and enforced consistent policies across workforce.
• Advised senior management on facilities needs and delivered ongoing operational support.
• Analysed performance data to identify trends, making strategic decisions to boost operational success.
• Set up business contracts, obtained signatures and processed paperwork.

• Support multiple survey project teams across various locations to ensure effective data collection.
• Assist with hiring and training teams for market data gathering.
• Prepare and deliver daily, weekly, and monthly reports for management review.
• Conduct presentations summarising market findings for clients.
• Provide advice and basic recommendations to support business growth strategies.
• Manage budgets and procure necessary assets for project execution.
• Collaborated with team members to achieve target results.
• Managed complaints with calm, clear communication and problem-solving.
• Developed excellent working knowledge of industry trends and improvements in processes.

• Facilitated customer relationships through supportive sales techniques to assist in achieving sales goals.
• Supported company objectives by following established sales strategies.
• Addressed customer issues and complaints with effective problem-solving skills.
• Delivered friendly service to enhance customer satisfaction.
• Promoted product features and benefits to encourage sales.
• Finalised significant sales to meet quotas and align with company objectives.
• Handled customer objections to improve conversion rates.
• Tracked competitor activities and market trends to assist in strategic planning and maintain competitiveness.
• Oversaw a portfolio of accounts to ensure customer satisfaction and retention levels were upheld.
• Applied financial data to assess sales performance.

• Programming Languages: Python, R, and SQL
• Machine learning: Scikit-learn, TensorFlow, PyTorch, and XGBoost for building predictive models
• Statistics and Mathematics: Probability, hypothesis testing, regression, optimisation, linear algebra
• Big Data Tools: Spark, Hadoop, and Hive for handling large-scale datasets
• Databases: Relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra)

Analytical and visualisation skills

• Data Visualisation: Matplotlib, Seaborn, ggplot2, Plotly, Power BI, Tableau
• Exploratory Data Analysis (EDA): Identifying trends, anomalies, and correlations
• Business intelligence: Turning raw data into actionable insights

Soft Skills

• Problem-solving: Framing business problems into data-driven questions
• Communication: Explaining complex findings to non-technical stakeholders
• Collaboration: Working with engineers, product managers, and business teams
• Critical thinking: evaluating model performance and ethical implications