1About 1Skills 2Experience 3Projects 5Education 8Awards 13Referees 21Contact
Open to new roles · Harare / Remote

Data Science & AI Engineer | Harare, Zimbabwe

Craig Tinei
Chadiwa

Data Science·Machine Learning·Deep Learning·Applied AI

I build machine learning and AI systems that turn raw data into decisions, from deep learning models to the big data pipelines that feed them.

Harare, Zimbabwe MSc Data Science, University of Johannesburg — Feb 2027 Open to new roles
0Years in data & AI research
0Countries worked across
0Tools & platforms mastered
1

About

Where analysis meets engineering

I'm a Data Scientist and AI Research Assistant with hands-on experience across analytics, machine learning, big data infrastructure, and applied AI research. I've spent the last three years moving between two worlds that are usually kept separate: the statistical, research side of data work; SPSS, Stata, NVivo, thematic coding and the engineering side; Hadoop, parallel computing, ETL pipelines, and agentic LLM systems built with LangChain.

I begin a Master of Science in Data Science at the University of Johannesburg in February 2027, continuing toward ethical, data-driven work in research, innovation, and decision-making.

3+ yrsApplied data & AI research experience
5Roles across analytics, big data & AI research
3Countries of remote & freelance work
🇿🇦 South Africa 🇸🇬 Singapore 🇵🇱 Poland
76%AI & Big Data Analytics — ZCHPC (credit pass)
2.1BSc (Hons) Data Science & Systems, UZ
1

Skills

The toolkit, tiled to scale

The sequence begins with two ones, so does this section.

AI & Machine Learning Machine Learning · Deep Learning · Large Language Models · Agentic AI (LangChain)
Big Data & Systems Hadoop Ecosystem · Parallel Computing · ETL Pipelines
Languages & Platforms Python (Pandas, NumPy, Matplotlib) · R · SPSS · Stata
BI & Reporting Power BI · Excel (Advanced)
Qualitative Analysis NVivo · ATLAS.ti
2

Experience

Five roles, one throughline

Data Scientist — Red Cup Series

Jan 2026 – Present

Harare, Zimbabwe · Hybrid

  • Build data pipelines and dashboards tracking sales, campaign and customer performance across the agency's apparel and software products.
  • Prototype AI-powered features — recommendation, personalization and chat-based tools — for client-facing software.
  • Apply machine learning to marketing and customer data to sharpen digital marketing strategy and audience targeting.
  • Partner with designers and developers to translate data insights into product and campaign decisions.
  • Run experiments and A/B tests to measure the impact of new features and campaigns.

Research Data Analyst — Chief Editors

Sep 2024 – Present

South Africa · Remote

  • Lead quantitative and qualitative analysis (SPSS, Stata, NVivo, ATLAS.ti) supporting editorial and research decisions.
  • Direct PhD-level research data analysis projects contracted with the University of Johannesburg and Stellenbosch University.
  • Develop ERP systems and WhatsApp-based chatbots within the business wing, extending the company's tech offering.
  • Produce analytical reports and communicate complex findings to non-technical stakeholders.
  • Ensure data accuracy, integrity, confidentiality and ethical handling of research data.

Researcher, Big Data & AI — Zimbabwe Centre for High Performance Computing

Jul 2024 – Jun 2025

Harare, Zimbabwe

  • Supported AI and Big Data research projects, including agentic AI systems and LLM-based applications.
  • Assisted with data collection, preprocessing, experimentation and model testing.
  • Prepared technical documentation, literature reviews and research reports.
  • Trained university students in Parallel Computing and AI through hands-on tutorials and lab sessions.
  • Contributed to AI literacy programs and institutional capacity-building initiatives.

Big Data Analyst Intern — Zimbabwe Centre for High Performance Computing

Jul 2023 – Jun 2024

Harare, Zimbabwe

  • Worked with parallel computing environments and Hadoop-based data storage systems.
  • Designed interactive dashboards in Power BI.
  • Supported ETL processes, data validation and data quality assurance.

Data Analyst Intern — Yirifi

Jan 2023 – Jul 2023

Singapore · Remote

  • Conducted web scraping, data cleaning and exploratory data analysis (EDA) using Python.
  • Generated insights to support business and product decision-making.
  • Worked independently in a remote, deadline-driven environment.
3

Projects

Systems people actually used

01

Intelligent Learning Management System

An AI-enabled LMS built for Tech4Education, supporting adaptive learning paths and analytics-driven education — surfacing where students struggle before a teacher has to ask.

Adaptive Learning Applied AI Education Analytics
View code ↗
02

ZCHPC Xen Orchestra Platform

A web-based virtualization management platform for the Zimbabwe Centre for High Performance Computing — monitoring, control, backup and analytics across the compute cluster.

Virtualization Systems Monitoring Infrastructure
03

ERP Systems — Chief Editors Business Wing

Custom ERP systems built for business-wing clients at Chief Editors — covering inventory, invoicing and reporting workflows tailored to each operation.

ERP Business Systems Automation
View live ↗
04

WhatsApp-Based Business Chatbots

Automated WhatsApp chatbots for customer engagement, support and lead capture, deployed for business-wing clients at Chief Editors.

Chatbots WhatsApp API Customer Engagement
Chat on WhatsApp ↗
5

Education & Certifications

The foundation underneath

Education

Master of Science in Data Science

University of Johannesburg

Starting February 2027

BSc (Honours) Data Science & Systems

University of Zimbabwe — Upper Second Class (2.1)

2021 – 2025

Certifications & Training

Artificial Intelligence and Big Data Analytics

ZCHPC — Credit Pass, Average 76%

IBM Data Analysis with Python

Coursera

Introduction to Corporate Finance

Coursera

8

Awards & Academic Activity

Beyond the desk

Abstract Presenter — SARSYC

Southern African Regional Students and Youth Conference, Gaborone, Botswana. Presented original research on Big Data and Artificial Intelligence in Education to a regional academic audience.

13

Referees

People I've worked with

Contact details are hidden by default — tap reveal.

RZ

Raymond Zenda

Deputy Director
Zimbabwe Centre for High Performance Computing

"Craig combines technical depth with genuine curiosity, reliable on any data challenge we put in front of him."

SB

Saurav Bhatia

CEO & Founder
Yirifi

"Sharp, self-directed, and delivers even in high-pressure, deadline-driven remote work."

BM

Dr Mutsvene

Director
Chief Editors

"Meticulous with data and a clear communicator, an asset to any research team."

PM

Panashe Mhonde

Founder
Red Cup Series

"Craig brings a rare mix of data rigor and product thinking, a genuine asset to the team."

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