CV

I am an experienced data analyst and software engineer in both commercial and academic spaces. I worked full-time as an Analyst Programmer at Tessella Ltd, where I developed software solutions for large clients in diverse sectors, including BP, Rolls Royce, and Unilever. Following this, I began my PhD in Health Data Science, investigating how wrist-worn accelerometers could be used to better predict Parkinson’s disease. I bring a unique blend of academic rigour and practical knowledge, allowing me to navigate both research environments and real-world commercial projects. I am now looking to apply my skills in industry to have a broader impact, directly benefiting consumers and making a tangible difference in their lives.

Basics

Name Aidan Acquah
Label Data Analyst & Software Engineer
Email aayacquah@gmail.com
Url https://aidanacquah.github.io
Summary An experienced data analyst and software engineer with a unique blend of academic rigour and practical knowledge. Specialized in health data science, developing machine learning models and data-driven insights.

Work

  • 2023.03 - 2023.06
    Student Researcher
    GSK plc
    Conducted advanced analyses of health data using machine learning models. Collaborated internationally for novel digital biomarker discovery.
    • Collaborated on digital biomarker discovery
    • Applied machine learning to health data
  • 2022.01 - 2024.01
    Programming Lab Tutor
    University of Oxford
    Delivered lab sessions in R, Python, and C++ to undergraduate and master's students, focusing on data analysis and machine learning concepts.
    • Taught programming and data science concepts
    • Hands-on teaching in Python, R, and C++
  • 2022.01 - Present
    OxWearables Developer
    University of Oxford
    Developed and maintained open-source pip packages and GitHub repositories. Adapted and ran unit and system testing for updates. Contributed to OxWearables packages licensed for commercial use.
    • Maintained production-level open-source tools
    • Conducted unit testing on pip packages
  • 2017.09 - 2020.08
    Analyst Programmer
    Tessella Ltd
    Developed and tested software for large clients, including BP, Rolls Royce, and Unilever. Applied various programming languages and machine learning tools in data-intensive environments.
    • Developed production-level software
    • Worked with BP, Rolls Royce, and Unilever

Education

  • 2020.09 - Present

    Oxford, UK

    PhD
    University of Oxford
    Health Data Science
    • Advanced data science and machine learning techniques
    • Applied statistical analyses using Cox regression
  • 2013.09 - 2017.07

    London, UK

    MEng
    Imperial College London
    Biomedical Engineering
    • Medical Science
    • Programming
    • Signal Processing

Publications

Skills

Machine Learning & Data Science
Predictive modelling
Data-driven insights
Python
R
MATLAB
Software engineer
C
C++
C#
Python
R
SQL
Javascript
Research & Analysis
Health data science
Biomedical engineering
Wearable sensor data

Languages

English
Fluent
French
B2
Twi
Conversational

Interests

Gaming
Hiking
Data visualisation
Dungeons and dragons

References

Available on request

Projects

  • 2024.02 - 2024.09
    actinet
    pip package for activity data analysis using wearable sensors.
  • 2023.06 - 2024.06
    PD walking
    Detecting walking using wrist-worn accelerometer in healthy and Parkinson's disease individuals.
  • 2022.09 - 2024.12
    PD risk analysis
    Observing how wrist-worn accelerometers can improve risk models for incident Parkinson's disease.