Lehlohonolo Saohatse

Data & Analytics Graduate - Data Engineering & Machine Learning

I build data-driven solutions that turn raw data into reliable pipelines, analytical insight and machine learning applications. My background combines computer science, electronics and data science, with practical experience across R, Python, SQL, PowerBI, data engineering, analytics, machine learning and software development.

Johannesburg, South AfricaOpen to Graduate & Junior Opportunities

LSLehlohonolo Saohatse

CORE STACK

PythonSQLPySparkMicrosoft FabricPower BIMachine LearningNLP

About

I am a Computer Science and Electronics graduate from North-West University, currently pursuing a BSc Honours in Information Technology specialising in Data Science at Eduvos. My technical interests sit at the intersection of data engineering, analytics, machine learning and software engineering. I enjoy building systems that move from raw data through processing and modelling to useful business or analytical outputs.

Computer Science + Electronics Foundation

Software engineering, databases, artificial intelligence, data structures and algorithms, computer networks, operating systems, electronics, signals and systems, microcontroller systems, Linear Algebra, Multivarible Calculus.

Data Science Specialisation

Big Data Analytics, Data Mining and Data Administration, Natural Language Processing, Time Series Analysis and Forecasting, Research Methodologies, Service-Oriented and Microservices Architectures.

In the PwC's Jump Start Your Career Programme (PwC SATIC) - technology/AI certifications, mentorship from industry experts, and a bursary supporting Honours study.

HOW I WORK

WHAT I BRING

Projects

Pulled live from my GitHub account, so new repositories appear automatically. Featured work is pinned first.

View all on GitHub

Experience

    Technical Projects & Leadership

    Academic & Professional Highlights

    Skills

    Education

    BSc Honours in Information Technology - Data Science

    Eduvos · NQF 8 · 2026 – Present

    BSc Computer Science & Electronics

    North-West University · NQF 7 · 2022 – 2025

    CURRENT RESEARCH

    Machine Learning, Deep Learning & Hybrid Time Series Forecasting for Banking Stocks

    Evaluating traditional statistical, machine learning, deep learning and hybrid forecasting approaches for banking stocks in an emerging market.

    Naïve PersistenceARIMAXGBoostLSTMARIMA–LSTM Hybrid

    Evaluation: MAE · RMSE · Directional Accuracy - Data: South African banking equities (FirstRand Bank, ABSA, Capitec Bank, Nedbank, Standard Bank), Time-Series Financial Data.

    Certifications

    Looking for a graduate or junior data professional?

    I am currently open to graduate and junior opportunities in data, analytics, data engineering, machine learning and related technology roles in South Africa. Let's discuss how I can contribute across data engineering, analytics, machine learning and software development.

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    Freelance Case Studies