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Data Science with 3+ years in Data Analysis & Machine Learning
I’m a passionate and results-driven analyst with hands-on experience in coding, data analysis, and machine learning. Skilled in Python, SQL, and Microsoft Azure, with a strong ability to handle large datasets and extract actionable insights through visualization and modeling. Proficient in developing end-to-end data science solutions — from data cleaning and feature engineering to model training, evaluation, and deployment. Experienced with Jupyter Notebook and SQL environments for data exploration, predictive analytics, and performance optimization.
ZAIO INSTITUTE OF TECHNOLOGY
Certificate · Data Science
August 1, 2025 – June 30, 2025
MANCOSA
Post Graduate Diploma · Information Technology
August 1, 2024 – June 30, 2025
University of Pretoria
BCom · Supply Chain Management
August 1, 2017 – June 30, 2020
IMS Ad Agency
Data Scientist
January 1, 2026 – Present
City of Johannesburg Metropolitan Municipality, Gauteng, South Africa
Massmart
Replenishment Analyst
November 1, 2023 – December 31, 2025
City of Johannesburg Metropolitan Municipality, Gauteng, South Africa
Shoprite Group of Companies
Replenishment Data Analyst
June 1, 2022 – August 31, 2023
Durban, KwaZulu-Natal, South Africa
Pernod Ricard South Africa
Junior Procurement Specialist
March 1, 2021 – May 31, 2022
City of Johannesburg Metropolitan Municipality, Gauteng, South Africa
Actsys Cables
Junior Procurement Officer
December 1, 2020 – February 28, 2021
India
3C Ministries
Intern
February 1, 2016 – December 31, 2016
India
Data Science for Business
Udemy
June 1, 2026 – Present
Microsoft Power BI for Business Intelligence
Udemy
June 1, 2026 – Present
SQL Tips and Tricks for Data Science
Linkedin Learning
June 1, 2026 – Present
Power BI Data Dashboards
Linkedin Learning
June 1, 2026 – Present
Certified European Junior Logistician
European Logistics Association
June 1, 2026 – Present
Golden Key
University of Pretoria
January 1, 2018 – Present
Cultural Fit Analysis
The candidate's diverse experience across different industries (retail, advertising, procurement) and roles (Replenishment Analyst, Data Scientist) suggests adaptability and a broad perspective. Their involvement in process improvement and collaboration with various teams indicates a team-oriented and proactive approach. The pursuit of further education and certifications in Data Science and IT shows a commitment to continuous learning and professional development, which aligns with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving, data storytelling, and cross-functional collaboration skills. Their experience in root cause analysis, process improvement, and stakeholder engagement indicates a proactive and collaborative operational fit. The ability to translate data findings into business recommendations is a key strength for a senior data science role.