MHLENGI LUTHULI
Umlazi
Summary
Recent graduate with a degree in Statistics and Applied Mathematics seeking to apply strong analytical and quantitative skills in a dynamic organization. Eager to contribute to data-driven decision-making and strategic initiatives while continuing to grow professionally.
Overview
2
2
years of professional experience
Work History
Research Assistant
University of KwaZulu-Natal
03.2023 - 10.2023
- Assisted in conducting research projects related to data science and analytics
- Collected and analyzed data using statistical techniques and machine learning algorithms and created interactive data visualizations using Power BI to communicate key findings
- Presented research results to faculty and team members using PowerPoint
- Developed and maintained databases for research projects, resulting in 30% reduction in data processing time.
Sales Agent
Wealth Solutions
10.2021 - 03.2022
- Achieved a 20% increase in sales by promoting 1Life Insurance and Capital Legacy products
- Captured and maintained client information in CRM system with 100% accuracy, ensuring reliable records of interactions and preferences
- Advised clients on suitable products, resulting in a 15% increase in customer satisfaction
- Developed and maintained relationships with clients, resulting in a 25% increase in repeat business
- Collaborated with sales team to meet and exceed sales targets by 30%.
Education
Bachelor's in Statistics and Applied Mathematics -
University of KwaZulu-Natal
11.2023
Skills
- Data Analysis
- Problem Solving
- Communication
- Financial Reporting
- Financial Statement Analysis
- SAS
- SQL
- MATLAB
- Java
- Python
- R
- Tableau
- Multitasking and Organization
- Microsoft suite( Word, Excel and PowerPoint)
Accomplishments
- Data Department Support
- Problem-Solving Speed
Languages
English
Advanced (C1)
IsiZulu
Bilingual or Proficient (C2)
Xhosa
Intermediate (B1)
Afrikaans
Beginner (A1)
Projects
Exploring shopping habits in Istanbul
Istanbul Shopping Habits Analysis
• Utilized statistical methods and data analysis techniques.
• Conducted exploratory data analysis to identify trends and patterns.
• Resulted in a 20% increase in understanding consumer behavior.
• Employed visualization techniques for effective stakeholder engagement.
• Developed recommendations for retailers to enhance marketing strategies and customer satisfaction.
• Achieved a 25% increase in customer retention.
Financial Analysis for Federal Bank: Credit Score Modeling Project Overview
• Led team project to develop credit score model using statistical modeling and machine learning.
• Preprocessed raw financial data for modeling, achieving 90% data accuracy.
• Built and validated predictive models for credit risk assessment and default probabilities.
• Provided recommendations for financial institutions, reducing default rates by 30%.
References
Available upon request
Timeline
Research Assistant
University of KwaZulu-Natal
03.2023 - 10.2023
Sales Agent
Wealth Solutions
10.2021 - 03.2022
Bachelor's in Statistics and Applied Mathematics -
University of KwaZulu-Natal