RG

Russom Gebretinsae

Interdisciplinary Professional

Bridging science, technology and human-centred problem solving.

Multidisciplinary professional with a background spanning biomedical science, data analysis, education and employment support — applying analytical thinking and person-centred practice to meaningful real-world impact.

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About

I am a multidisciplinary professional with experience spanning biomedical science, computer science, data analysis, education and employment support.

My background combines analytical thinking, problem-solving and strong communication skills developed through scientific, educational and people-focused environments. I particularly value supporting individuals from diverse backgrounds, helping people overcome barriers and contributing to positive outcomes through practical and person-centred support.

I recently completed an MSc in Computer Science with distinction, developing skills in data analysis, machine learning and software development alongside my professional experience.

I am motivated by opportunities to work in interdisciplinary environments where healthcare, education, employability and technology come together to improve services, support individuals and contribute to meaningful real-world impact.

Skills

Communication & Professional Practice

  • Stakeholder Engagement
  • Employment Support & Client Guidance
  • Workshop Delivery & Training
  • Problem Solving & Analytical Thinking
  • Cross-Cultural Collaboration
  • Research & Documentation
  • Person-Centred Support
  • Interdisciplinary Collaboration

Data & Analytical Skills

  • Data Cleaning & Validation
  • Data Analysis & Reporting
  • Data Visualisation
  • Statistical Analysis
  • Machine Learning Fundamentals
  • Predictive Modelling
  • Research & Evidence-Based Analysis

Technical Tools & Technologies

  • Python
  • SQL & MySQL
  • Java
  • Pandas & NumPy
  • Scikit-learn
  • Machine Learning
  • Relational Databases

Projects

Sepsis Prediction Using Machine Learning

Data Science

Explored machine learning approaches for sepsis prediction using clinical datasets, focusing on data preprocessing, model evaluation and performance comparison to identify effective predictive methods.

  • Data preprocessing, cleaning and imputation
  • Model training and evaluation pipeline
  • Comparison of multiple ML classifiers
  • Ensemble modelling with top-performing models
Python Pandas Scikit-learn XGBoost LightGBM

Café Management System

Software Engineering

Developed a role-based multi-user management system with secure authentication and database integration, supporting order and billing workflows.

  • User authentication & role-based access control
  • Order and billing workflows
  • Relational database design and integration
Java MySQL Authentication

Smart Baby Crib Monitoring System

IoT · Group Project

Collaborated as part of a team to develop an IoT-based monitoring system for real-time environmental tracking and infant safety features.

  • Sound and moisture detection sensors
  • Alert and notification system
  • Remote-controlled safety features
  • Hardware–software integration via Raspberry Pi
Raspberry Pi Embedded Systems IoT

Experience

Restart Advisor — Ingeus, London

Sep 2025 – Present
  • Support jobseekers from diverse backgrounds with personalised employment guidance and tailored action plans
  • Coach participants on CV writing, interview preparation and effective job search strategies
  • Coordinate access to training opportunities, skills courses and external support services
  • Monitor participant progress and maintain accurate case management records

Employment Coach — World Jewish Relief / Refugee Council, South Yorkshire

Nov 2024 – Jun 2025
  • Delivered employability support to clients from diverse backgrounds
  • Coordinated training programmes and employment support activities
  • Managed structured reporting and client documentation

MSc Computer Science — Swansea University, Wales

Sep 2023 – Sep 2024
  • Graduated with Distinction
  • Focused on data analysis, machine learning and software development

Data Analyst (Freelance) — Khartoum, Sudan

Jun 2020 – Oct 2020
  • Collected, cleaned and analysed business datasets to support reporting and decision-making

Physics Teacher — FSMAP&S School, Khartoum, Sudan

Jul 2019 – Jun 2020
  • Taught Physics to junior and secondary school students

Graduate Teaching & Research Assistant — Asmara College of Health Sciences, Eritrea

Sep 2016 – Sep 2018
  • Taught full diploma-level biomedical science courses
  • Delivered and supervised laboratory practicals and clinical teaching
  • Actively involved in Clinical Laboratory Science research

Education

MSc Computer Science

Swansea University, UK

Distinction

Sep 2023 – Sep 2024

BSc Clinical Laboratory Science

Asmara College of Health Sciences, Eritrea

Very Great Distinction

Sep 2012 – Sep 2016

Publications

Contact

Feel free to connect and reach out via email or LinkedIn.

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