OMInformation Systems & Data Analytics | BCom Hons (IS)·🟢 Open to work
Ovayo Mzizi portrait

Information Systems & Data Analytics | Digital Transformation

I work with data and digital systems to support better decision-making, from cleaning and reporting data to researching and building practical solutions for real communities.

Work samples

Selected projects across data analytics, research and digital solutions, from a refugee-focused data fellowship to venture capital analysis and Power BI reporting.

  • SemaSasa: Breaking Language Barriers to Refugee Services
    SemaSasa: Breaking Language Barriers to Refugee Services

    Research Code Respond (Data for Social Good Fellowship) · Aug 2026

    SemaSasa: Breaking Language Barriers to Refugee Services

    Refugees in Bidibidi (Uganda), Kakuma (Kenya) and Mahama (Rwanda) often cannot access health and legal services because they don’t share a language with service providers. Over a 12-week fellowship, our team set out to understand where communication breaks down and to build a practical, low-resource

    PythonData analysisSurvey designKoboToolboxHuman-centred designTeam LeadershipMachine Learning

About me

I work with data and digital systems to support better decision-making, from cleaning and reporting data to researching and building practical solutions for real communities.

I’m Ovayo Mzizi, based in the Eastern Cape and willing to relocate. I’ve applied data and research skills across a Data for Social Good fellowship with Research Code Respond, where my team won Best Technical Execution and I was recognised as Team Lead; contract data work at Gambuu; a venture capital externship with HP Tech Ventures; and two years tutoring university IS modules. I’ve also held three office-bearer roles in a student society, handling documentation, stakeholder communication and financial reporting. I want to join teams in data, technology or digital transformation.

Experience

Data for Social Good Fellow

Research Code Respond · Jun 2026 – Aug 2026

Data Entry Contractor

Gambuu · Mar 2026 – Aug 2026

Module Tutor — Business Innovations and Entrepreneurship Department

University of Fort Hare · Apr 2024 – May 2026

Data Analyst, Hackathon Team

African Girls in Tech Bootcamp · Mar 2025 – Apr 2025

Corporate Venture Capital & Business Analytics Extern

HP Tech Ventures, via Extern · Sep 2024 – Oct 2024

Education

University of Fort Hare

Bachelor of Commerce Honours in Information Systems · Class of 2026

University of Fort Hare

Bachelor of Commerce ECP — Business Management; Minors: Information Systems, Economics · Class of 2025

Skills

SQLExcelPower BIBusiness & systems analysisData quality assuranceResearch & problem-solvingReport writingStakeholder communicationAgile project managementAdministrative coordination
Back to work

SemaSasa: Breaking Language Barriers to Refugee Services

Refugees in Bidibidi (Uganda), Kakuma (Kenya) and Mahama (Rwanda) often cannot access health and legal services because they don’t share a language with service providers. Over a 12-week fellowship, our team set out to understand where communication breaks down and to build a practical, low-resource

PythonData analysisSurvey designKoboToolboxHuman-centred designTeam LeadershipMachine Learning

Overview

Refugees in Bidibidi (Uganda), Kakuma (Kenya) and Mahama (Rwanda) often cannot access health and legal services because they don’t share a language with service providers. Over a 12-week fellowship, our team set out to understand where communication breaks down and to build a practical, low-resource digital tool that helps refugees and providers understand each other.

SemaSasa: Breaking Language Barriers to Refugee Services

What I've accomplished

Led Working Group 6 through research and build. Designed two multilingual surveys (refugees and service providers) in KoboToolbox, ran pilot analysis in Python (pandas, matplotlib) and co-wrote the human-centred design report. Built SemaSasa’s ML feature: document OCR (Tesseract.js), translation into six languages incl. Somali and Kinyarwanda (NLLB), and a refugee support chat.

Outcome

Our team won Best Technical Execution at Demo Day, and I received Team Lead Recognition from Research Code Respond. We delivered a working prototype that reads and translates documents for refugees. Lessons: pilot response numbers were small, so the next step is wider data collection, and offline, voice-first design matters most where connectivity and literacy are limited.

View all work