Skip to content
View Tinyiko-Mathebula's full-sized avatar

Block or report Tinyiko-Mathebula

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Tinyiko-Mathebula/README.md

Hi, I'm Tinyiko Mathebula πŸ‘‹

Data Administrator | Data Quality | SQL & Database Reporting

πŸ“ Johannesburg, South Africa

I’m an operations and systems professional transitioning into specialised data roles, bringing 9 years of administrative and systems experience alongside practical projects in SQL, Python, database design and data analytics.

My background includes managing 500+ user profiles across digital platforms, verifying records, investigating system issues, maintaining operational tracking records and handling sensitive documentation. I’m building on that experience through hands-on projects focused on data integrity, database management, reporting and analysis.

I’m completing my BCom in Business Informatics at UNISA and developing my technical skills through independent portfolio projects and professional certifications.

🎯 What I Do

  • Data Administration & Quality: Data validation, record maintenance, duplicate detection, missing-value investigation and data quality checks.
  • SQL & Database Management: Relational database design, SQL queries, data integrity, joins and reporting.
  • Data Analysis: Data cleaning, exploratory data analysis, customer segmentation and business reporting.
  • Systems & Data Operations: User account administration, troubleshooting, data transformation and system synchronisation.

πŸš€ Featured Projects

1. Experian Data Administrator Portfolio

A portfolio project focused on data administration, SQL reporting, Excel dashboards and service-level agreement (SLA) monitoring.

Tools: SQL, Excel

View Repository

2. Pension Data SQL Analytics

SQL-based analysis focused on pension contribution auditing, data quality checks, missing-payment detection and regulatory reporting.

Tools: SQL, MySQL

View Repository

3. Enterprise Enrolment Management Database

A relational database project demonstrating schema design, database structure management, referential integrity, indexing and reporting queries.

Tools: MySQL, SQL

View Repository

4. SIS-to-LMS OneRoster Pipeline

A Python data transformation pipeline designed to convert source-system data into OneRoster v1.2-compliant files for learning management system synchronisation.

Tools: Python, Data Transformation

View Repository

5. E-commerce Data Cleaning & Exploratory Data Analysis

Cleaned and explored retail transaction data, removed 5,268 duplicate records, investigated missing values and pricing anomalies, and documented business insights.

Tools: Python, Pandas, Jupyter Notebook

View Portfolio Repository

6. Credit Risk Intelligence Platform

A machine learning portfolio project exploring credit risk prediction, feature engineering, Weight of Evidence (WoE) encoding and model evaluation. The project reports an improvement in AUC from 0.68 to 0.7822.

Tools: Python, Pandas, Scikit-learn, Streamlit

View Repository

πŸ› οΈ Technical Skills

Data Administration & Quality

  • Data validation and record verification
  • Data cleaning and duplicate detection
  • Missing-value and anomaly investigation
  • Data integrity and audit-trail concepts

Databases & Querying

  • SQL and MySQL
  • Relational database design
  • Database normalisation and referential integrity
  • Joins, aggregations and reporting queries

Data Analysis & Programming

  • Python and Pandas
  • NumPy
  • Jupyter Notebook
  • Exploratory data analysis
  • Data preparation and transformation

Reporting & Visualisation

  • Microsoft Excel
  • Google Sheets
  • Power BI and DAX
  • Tableau
  • Streamlit dashboards

Systems & Governance

  • Systems administration and troubleshooting
  • User account management
  • Data privacy and POPIA awareness
  • Data governance fundamentals
  • LMS administration and data synchronisation

πŸ“š Education & Professional Development

πŸŽ“ BCom Business Informatics β€” University of South Africa (UNISA)
Final year | Expected completion: November 2026

πŸ“Š Associate Data Analyst β€” DataCamp
βš™οΈ Associate Data Engineer β€” DataCamp
πŸ—„οΈ Database Design β€” DataCamp
πŸ” Data Governance Fundamentals β€” DataCamp
πŸ›‘οΈ GDPR and Data Privacy Fundamentals β€” DataCamp
πŸ’» Certificate in Full Stack Development β€” FNB App Academy

🌱 Currently Building

  • Practical SQL and database administration skills
  • Data quality and reporting portfolio projects
  • Python-based data cleaning and transformation workflows
  • Business intelligence and analytics capabilities

πŸ“« Connect With Me

Interested in opportunities across Johannesburg and South Africa, including on-site, hybrid and remote positions.

Pinned Loading

  1. sis-to-lms-oneroster-pipeline sis-to-lms-oneroster-pipeline Public

    Python pipeline transforming messy SIS data into OneRoster v1.2-compliant files for LMS sync

    Python

  2. retail-sales-analysis retail-sales-analysis Public

    Retail sales analysis & RFM customer segmentation Β· 25,000 transactions Β· 13 months Β· top 20% of customers generate 83.6% of revenue Β· 8 customer segments identified Β· 5 business recommendations. P…

    Python

  3. python-churn-prediction python-churn-prediction Public

    End-to-end customer churn prediction pipeline β€” 0.77 AUC Β· 5,880 customers Β· 3 models compared (Logistic Regression, Random Forest, Gradient Boosting) Β· threshold tuning catches 65% of churners. Py…

    Jupyter Notebook

  4. Telecom-Customer-Churn-PowerBI Telecom-Customer-Churn-PowerBI Public

    Interactive Power BI dashboard analysing telecom customer churn β€” KPI cards, DAX measures, and slicers identifying key churn drivers: contract type, service type, and payment method. Power BI Β· DAX…

  5. dataquest-2026-credit-risk dataquest-2026-credit-risk Public

    Credit Risk Intelligence Platform β€” DataQuest 2026. Improved baseline model AUC from 0.68 to 0.7822 using feature engineering and WoE encoding. Interactive Streamlit dashboard for regulator-aware r…

    Python

  6. data-analytics-portfolio data-analytics-portfolio Public

    Professional data analytics projects demonstrating data cleaning, exploratory data analysis, SQL, Python, and business intelligence.

    Jupyter Notebook