Chantelle Amoako-Atta

Machine Learning Engineer | Data Scientist | Educator | AI Researcher | AI Consultant
LinkedIn | GitHub | Email | Website

Education

Lappeenranta University of Technology (LUT), Finland
Double Degree MSc in Data-Centric Engineering (2023 – 2024)

  • Final Grade: 4/5
  • Thesis: Playing Oware Nam-nam with Deep Q-Networks

African Institute for Mathematical Sciences (AIMS), Rwanda
MSc in Mathematical Sciences (2022 – 2023)

  • Final Grade: Distinction
  • Thesis: Classifying Cardiac Arrhythmia Using Machine Learning

University of Ghana
BA in Mathematics with Economics (First Class) (2017 – 2021)

  • Final Grade: 3.6 / 4.0 (First Class Honours)
  • Dissertation: Canonical Quantization of Free Φ⁴ Scalar Fields

Technical Skills

  • Languages/Tools: Python, MATLAB, R, SQL, CUDA, Git, HTML
  • Libraries: TensorFlow, PyTorch, Django, Scikit-learn, CuPy, LangChain, Gradio
  • Other: Microsoft Office, LaTeX, Canva, Adobe Photoshop

Experience

Cape Wesley Consult – Machine Learning Engineer (Remote) (Nov 2024 – Present)

  • Built GPT-based sentiment models using LangChain for social media analysis
  • Developed pipelines for election data modeling and explainable AI outputs

Adaire Academy, Ghana – Data Science Instructor (Sep 2024 – Present)

  • Taught data science and ML using EPFL-based curriculum
  • Guided students through real-world projects using R and Tidyverse

AIMS Ghana – Academic Tutor (Sep 2024 – Present)

  • Delivered tutorials and one-on-one mentorship in mathematics and Python
  • Led the Coding Club and taught GMSP students during residential programs

University of Ghana – Teaching Assistant (Oct 2021 – Sep 2022)

  • Assisted in teaching algebra, calculus, real analysis, and computational math
  • Supported students with assignments, study plans, and concept review

Selected Projects

Case Mediator Matching System (Ishango AI Hackathon)

  • Built a Django-based case scheduling system with NLP and transformer models
  • Streamlined case-type classification and improved matching speed

Machine Learning on GPU (LUT University)

  • Created a high-performance kNN classifier with CUDA kernels and CuPy
  • Demonstrated major gains in processing time for classification tasks

3D Digit Classification Using LeapMotion

  • Designed a neural network to classify 3D handwritten digits
  • Achieved 99% accuracy on LeapMotion sensor data

Awards & Programs

  • AIMS–Imperial Global Fellows Program (2024)
  • LUT University Masters Scholarship (2024)
  • 1st Place – SIAM Hackathon, Boise State University (2023)
  • MasterCard Foundation Scholar (AIMS Rwanda)

Conferences & Engagements

  • New York University Abu Dhabi NYUAD Quantum Computing Hackathon (2025)
  • MICCAI 2024 – Presented work on brain tumor segmentation (2024)
  • Ghana Data Science Summit, IndabaX Ghana (2024)
  • Mathematical Biology Workshop – AIMS Ghana (2024)

Full CV available upon request.