Available for opportunities

Tereraishe
Mahupa

$ Informatics & Analytics · ML & Data

I build intelligent systems and turn raw data into decisions. Currently completing my industrial attachment at Lynia Finance— designing microfinance infrastructure for Zimbabwe's informal economy.

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26Weeks Attached

3Products Built

AWSCloud Platform

Tereraishe Mahupa

Informatics & Analytics

NUST · Bulawayo, Zimbabwe

// 01. About

Who I Am

I'm a final-year Informatics & Analytics student at the National University of Science and Technology (NUST), currently completing my industrial attachment at Lynia Finance— a WhatsApp-first fintech startup serving Zimbabwe's underbanked informal economy.

My work sits at the intersection of data science, machine learning, and financial systems. I'm drawn to problems where thoughtful analysis can unlock real value — especially in underserved markets where data infrastructure is still being built from scratch.

At Lynia Finance, I've contributed across the full stack: from financial model development and API integration planning to cloud infrastructure and core banking system architecture.

> Currently building: microfinance product models for civil servants, ride-hailing drivers & smartphone financing — all on Apache Fineract + AWS Lambda

🎓

NUST — Informatics & Analytics

Industrial Attachment · 2025–2026 · Bulawayo, Zimbabwe

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Lynia Finance — Co-Founder

WhatsApp-first microloan & device financing for Zimbabwe's informal economy

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Focus Areas

Machine Learning · Financial Modelling · Data Analytics · Cloud Infrastructure · API Integration

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Expansion Vision

Building scalable fintech infrastructure for informal economy workers across Southern Africa

// 02. Skills

Technical Stack

Tools and technologies I've worked with hands-on during my studies and at Lynia Finance.

Languages

PythonSQLJavaScriptTypeScriptBash

ML & Data Science

scikit-learnpandasNumPyMatplotlibSeabornJupyter

Cloud & Infrastructure

AWS LambdaAWS RDSPostgreSQLApache FineractIAM

Web & APIs

Next.js 14REST APIsWhatsApp Cloud APINode.jsTailwind CSS

Financial Modelling

Excel / VBAUnit EconomicsCash Flow ModelsP&L ScenariosMarket Sizing

Tools & Platforms

GitHubFigmaVercelEcoCash APITrustonicDIDIT KYC

// 03. Projects

What I've Built

Projects built during my industrial attachment and at NUST — spanning financial modelling, cloud systems, and data analytics.

★ Featured Project

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Industrial Attachment · Fintech Startup · 2025–2026

WhatsApp-First Fintech Platform

Contributed to the development of a full-stack fintech platform serving Zimbabwe's informal economy. Work spanned financial product modelling, cloud infrastructure setup, API integration planning, core banking system configuration, and analytics dashboard development.

Key outcomes: Delivered financial models across multiple lending products · Produced API integration documentation · Contributed to cloud infrastructure and admin dashboard development

Next.jsAWS LambdaPostgreSQLWhatsApp Cloud APIApache FineractPython

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Financial Modelling · Excel

Microfinance Product Financial Models

Built detailed Excel financial models for multiple lending products, covering market sizing, unit economics, scenario P&L analysis, and monthly cash flow projections.

Impact: Investor-ready models covering multiple lending segments · Scenario analysis across optimistic, base, and stress cases

ExcelFinancial ModellingUnit EconomicsScenario Analysis

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API Integration Research · Fintech

Mobile Money API Integration Planning

Prepared technical discovery materials for mobile money integrations — covering API questionnaires, schema requirements, system architecture considerations, and compliance documentation.

Impact: Multiple operator integration packs · Disbursement and repayment schema design · Compliance framework documentation

REST APIsSystems DesignTechnical Documentation

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Machine Learning · Python

Data Analytics & ML Projects

Academic and personal projects applying machine learning and data analytics — including data cleaning pipelines, exploratory data analysis, predictive modelling, and data visualisation.

Impact: Applied scikit-learn, pandas, and Matplotlib across multiple datasets · Built end-to-end ML pipelines from raw data to insights

Pythonscikit-learnpandasNumPyMatplotlibJupyter

// 04. Experience

My Journey

Academic and professional milestones that have shaped my technical foundation.

Work

2025 – Present

Co-Founder & Analytics Lead

Lynia Finance · Harare, Zimbabwe

Building Zimbabwe's first WhatsApp-native microloan platform. Responsible for financial modelling, system architecture, API integration planning, and analytics infrastructure.

2025 – Present

Industrial Attachment — Informatics & Analytics

National University of Science and Technology (NUST)

26-week supervised industrial placement at Lynia Finance, documenting technical contributions across financial modelling, cloud infrastructure, and data analytics.

Education

2022 – Present

BSc Informatics & Analytics

NUST · Bulawayo, Zimbabwe

Specialisation in Machine Learning and Data Analysis. Core modules include statistical modelling, database systems, data visualisation, and information systems architecture.

Ongoing

Self-Directed Learning

AWS, Apache Fineract, Next.js ecosystem

Continuous learning in cloud infrastructure, core banking systems, and modern full-stack development — applied directly to Lynia Finance's production platform.

// 05. Contact

Get in Touch

Whether you're a recruiter, a potential collaborator, or curious about what we're building at Lynia Finance — I'd love to connect. Currently based in Zimbabwe, open to remote opportunities.