Lehlohonolo Mofula

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About

Data Analyst and Microsoft Student Ambassador focused on turning raw data into clear insights and practical software solutions.

Lehlohonolo Mofula professional portrait

Lehlohonolo Mofula | Data Analyst

Certified Data Analyst and Microsoft Student Ambassador, specialising in data analytics, business intelligence,and AI. Backed by 23 industry certifications, I focus on delivering practical, user-centered outcomes.

  • Top credential: GitHub Foundations
  • Top credential: Azure AZ-204 Associate
  • Top credential: Power BI Data Analyst
  • Phone: 081 385 3923
  • Consultation: Available

Facts

Certifications earned, events delivered, projects completed, and skills put into practice.

23

Certifications earned

4

Speaker sessions

3

Projects

22

Technical skills applied

Resume

Academic qualifications and professional experience in data, and AI.

Summary

Lehlohonolo Mofula

Data Analyst and Microsoft Student Ambassador at North-West University. I focus on data analytics, business intelligence, and AI, bridging the gap between complex data and practical, actionable outcomes.

Education

BCom Economic Sciences with Economics and Informatics

North-West University Potchefstroom Campus

  • Major in Economics and Informatics.
  • Minor in Statistics and Mathematics.

Professional Experience

Teaching Assistant

March 2025 - December 2025

North-West University Potchefstroom Campus

  • Facilitated engaging, hands-on lab sessions for university students, providing personalised guidance and support.
  • Monitored student participation and engagement metrics to identify at-risk students early.
  • Graded assignments and provided detailed feedback, enhancing students' coding skills and adherence to best practices.
  • Monitored student participation and provided proactive support to learners needing additional guidance while identifying at-risk learners and providing targeted support that improved grades

Microsoft Learn Student Ambassador (Beta)

January 2024 - Present

Microsoft Africa Remote

  • Organised and hosted 14+ events and workshops promoting Microsoft Azure, Power BI, and AI technologies.
  • Mentored fellow students in cloud computing, data analytics, and certification preparation.
  • Created community content on data analytics and artificial intelligence, reaching audiences across South Africa.
  • Collaborated with ambassadors and MVPs to grow the local Microsoft tech community.
Download Resume

Skills

Core proficiencies across four domains: Data Analytics, Business Intelligence, Software Engineering, and Data Science — each backed by certifications and project work.

Data Analytics
Power BI
BigQuery
Tableau
Synapse Real-time analytics
Python
Pandas
R
Business Intelligence
Dashboard
Reporting
extract, transform, load (ETL)
Online analytical processing (OLAP)
MongoDb
Microsoft Sql server
Azure DevOps
Data Science
C#
NumPy
PySpark
Apache Spark
SciPy
Scikit-learn
Tensorflow

Certifications

23 verified credentials from Microsoft, Google, GitHub, and DataCamp — each linked to its verification page on Credly, Coursera, or DataCamp.

23 Credentials

Portfolio

This section showcases selected project work with tools used, business context, and links to source code.

Data Analytics Quantium Retail Analytics - customer purchasing behaviour analysis and retail transaction insights by Lehlohonolo Mofula

Quantium Retail Analytics

Analysis of stakeholder transaction data to identify customer purchasing behaviours, generate actionable insights, and provide commercial recommendations

R Descriptive analytics ggplot2 Technical Writing
Data Analytics Bellabeat Product Analysis dashboard-style illustration showing usage trends and analytics

Bellabeat Product Analysis

Exploratory and descriptive analysis of Bellabeat smart device usage trends in Python, with Matplotlib visualisations and evidence-based product recommendations

Python Exploratory Data Analysis Matplotlib Descriptive analytics
Data Analytics Cyclistic Bike-Share Analysis visual summary with member versus casual usage insights

Cyclistic Bike-Share Analysis

Bike-share analytics project using Python, pandas, numpy, and Matplotlib to compare casual and member rider behaviour and support marketing strategy recommendations

Python Pandas NumPy Matplotlib Data Visualisation
Showing 1-3 of 3 projects

Services

End-to-end data and technology services — from analysis and dashboarding to machine learning and full-stack development.

Data Analysis

I collect, clean, and transform raw data to uncover patterns, draw conclusions, and deliver actionable recommendations that drive informed decision-making.

Business Intelligence

I design interactive dashboards and reports in Power BI, Tableau, and BigQuery that turn complex datasets into clear, strategic insights for daily and long-term decision-making.

Data Engineering

I build ETL pipelines and data architectures using SQL, PySpark, and Azure to collect, store, and prepare data at scale for analytics and machine learning.

Data Science

I apply statistical modelling, exploratory analysis, and predictive techniques using Python, Pandas, and scikit-learn to extract meaningful insights and solve complex business problems.

Artificial Intelligence

I develop AI-powered solutions using TensorFlow and Azure AI services — from natural language processing and computer vision to intelligent automation that solves real-world problems.

Machine Learning

I train and evaluate machine learning models — regression, classification, and clustering — using scikit-learn, TensorFlow, and PySpark to turn data into accurate, automated predictions.

Contact

Have a project, question, or collaboration in mind? I'd love to hear from you.

Location:

Johannesburg, Gauteng

Call:

(+27) 81385 3923