Tatenda MawangoData scientist and PhD researcher
Resume (PDF)

Tatenda Mawango is a data scientist and PhD researcher in machine learning.

I started a PhD at Wrocław University of Science and Technology in October 2026, after a BSc in informatics and an MSc in data science and AI at Kaunas University of Technology (KTU). My MSc thesis forecast restaurant demand from about 12.9 million POS records, then tested the prediction intervals: the 80% intervals covered about 57%.

Read the thesis write-up Resume (PDF)

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Oct 2026

PhD in machine learning, Wrocław University of Science and Technology

Month 1 of about 41, 2% of the way.

Education since 2018 as one line that climbs a level per stage and runs flat between them. The PhD climb is a forecast, with illustrative 50, 80 and 96% bands around a February 2030 finish.

The thesis: do the intervals mean what they say?

My MSc thesis: order forecasts for 17 Vilnius restaurants with ARIMA, DeepAR and a TFT, then a test of whether their prediction intervals hold.

Venues
17
POS records
~12.9M
Models compared
4
TFT daily MAE
37.3
Total80% interval coverage
57%

Read the full write-upCode and thesis PDF on GitHub

  1. 50% interval28.6% of 50%
  2. 80% interval57.1% of 80%
  3. 96% interval75.7% of 96%
What the Temporal Fusion Transformer's (TFT) daily intervals promised against what they delivered, over 14 samples and five forecast days. Every interval is too narrow: the 80% band contained the actual value only 57.1% of the time. Values read from the thesis calibration plot.

More work, from labs to systems

All 23 projects, as an index
A random walk with drift forecast of the gold price: the intervals widen the further ahead it looks.

Statistical Analysis & Forecasting

2024Descriptive and predictive analytics in R: PCA, clustering, ARIMA and ETS forecasting and multivariate modeling, all reported through RMarkdown.

Covers
PCA, k-means, ARIMA, ETS
Reports
RMarkdown
  1. 2024Mathematical Methods of AIA grab-bag of mathematically grounded AI work: explainable AI, recommender systems, Kalman filters and LDA topic modeling, with a focus on interpretability.DataPython, NumPy, scikit-learn
  2. 2024ML Lab ProjectsSupervised learning labs across regression, classification (LDA, QDA, Logistic), KNN, and model evaluation.DataPython, scikit-learn, pandas
  3. 2024AI Lab Methods & ProjectsLab-based AI projects covering ANN classification, Naive Bayes spam detection, time-series forecasting, and statistical data preprocessing.DataPython, Keras, scikit-learn
  4. 2024CUDA Student GradingGPU-parallel student grading in CUDA: filtering and formatting student records by name and grade across thousands of threads.EngineeringCUDA, C++, NVCC
  5. 2024Location-Based Android AppAn indoor positioning Android app that locates the user from Wi-Fi RSSI fingerprints with k-nearest neighbors. Built with Room, Retrofit and Material 3.EngineeringKotlin, Android, Room
  6. 2023Distributed Container SimulationMulti-client distributed simulation in C# using RabbitMQ. Clients adjust container mass under pressure; the system resets on implosion or explosion.EngineeringC#, .NET, RabbitMQ

Work history

  1. Dec 2024 to Mar 2025

    AI & Automation Workflow Specialist

    1man.ai, Kaunas, Lithuania

  2. Aug 2024 to Oct 2024

    IT Support Specialist

    Basic Economy sp. z o.o., Kielce, Poland

  3. Mar 2024 to Aug 2024

    Android Developer Intern

    Basic Economy sp. z o.o., Kielce, Poland

Correspondence

Research, data science work or a question about a project. Email, LinkedIn or the contact form all reach me.

mawangot2000@gmail.com LinkedIn

There is also a contact form, and aresume (PDF).