Lifelong learner,

About

A Lifelong Student, Researcher, Data Scientist.

Introduction

Hello there, my name is Emmanuella Budu. I am a doctoral student at the Centre for Applied Intelligent Systems Research (CAISR) at Halmstad University in Sweden, specialising in generating synthetic Electronic Health Records (EHRs) using generative models. My research interests lie in applying machine learning to drive advancements in disease diagnosis, improve treatment outcomes, and optimize service delivery in healthcare settings. I am most interested in developing AI-based solutions that can be implemented in real-world clinical environments. I have hands-on experience in building machine learning models, data analysis, software engineering, and network technologies.

I consider myself a lifelong learner. I sometimes share my work on my Github and Medium accounts. I am also a Computer science-focused writer at Baeldung, where I write articles and tutorials on various topics in Computer Science.

I also did some volunteer works as a Research Analyst with Abeyie Innovation Studios.

Words I live by: Do unto others as you would have them do unto you!.

Last Updated: 30/04/2025

Skills

Soft skills and technical skills

TOOLS

PowerBI, Tableau, Tensorflow, Pytorch

Data Science

Machine Learning, Data analysis, Data pre-processing

Programming Languages

Python, Java, SQL, HTML and a little bit of R

Research

Data Collection, Problem Identification, Evaluation

Other

Web Development, Software Engineering

Publications

Scientific Papers published in Conference Proceedings and Journals.

  1. Evaluation of synthetic electronic health records: A systematic review and experimental assessment

    E Budu, A Soliman, K Etminani, T Rögnvaldsson

    Neurocomputing

  2. Evaluating Temporal Fidelity in Synthetic Time-series Electronic Health Records

    E Budu, A Soliman, T Rögnvaldsson, F Etminani

    2024 IEEE Conference on Artificial Intelligence (CAI)

  3. See my Google Scholar page for more

Projects and Publications

Here is a glimpse of completed work and work in progress.

  • All
  • Data Science Projects
  • Analytics
  • Knowledge

Cervical Cancer Risk Classification

Data Science Projects

Probability

Knowledge

Tableau & PowerBI

Analytics

EDA on the bank dataset

Analytics

Certificates

Through a little self-motivated learning. I have acquired the following certificates.

  • All

R

AI & ML

Tableau

Analytics

IBM Data Science

Analytics

Artificial Intelligence

AI & ML