Dawit Lambebo Gulta
Data Scientist & ML Engineer
MA IS&T Graduate (York University, 2025) | Former Research Data Analyst (Sunnybrook Hospital) | Specializing in Medical Imaging, Machine Learning & Data Visualization
About Me
Passionate data scientist and machine learning engineer dedicated to leveraging technology for meaningful impact in healthcare and education.
Professional Background
Recently completed my Master of Arts in Information Systems and Technology at York University (June 2025) and worked as a Research Data Analyst at Sunnybrook Hospital (until July 2025), where I focused on medical imaging and spine fracture risk prediction using advanced machine learning techniques.
My expertise spans across data science, machine learning, deep learning, and statistical analysis, with a particular focus on healthcare applications and medical imaging. I'm passionate about using technology to solve complex problems and improve patient outcomes.
Beyond my research work, I actively contribute to educational initiatives as a mentor and technical consultant for the African-Canadian Christian Network (ACCN), where I develop educational platforms and integrate AI curricula to empower the next generation of technologists.
Research Interests
Medical Imaging & AI
Developing machine learning models for medical image analysis, particularly in spine fracture detection and risk assessment.
Statistical Optimization
Contributing to open-source statistical libraries, including improvements to optimization algorithms in SciPy.
Educational Technology
Creating innovative learning platforms and integrating AI curricula to make technology education more accessible.
Technical Skills
A comprehensive toolkit spanning data science, machine learning, statistical analysis, and software development, with specialized expertise in medical imaging and healthcare analytics.
Programming Languages
- Python
- R
- SQL
- JavaScript
- TypeScript
- MATLAB
Machine Learning & AI
- Scikit-learn
- TensorFlow
- PyTorch
- Keras
- OpenCV
- NLTK
Data Analysis & Visualization
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Plotly
- Tableau Public
- Power BI
Statistical Analysis
- SciPy
- Statsmodels
- Cohen's d
- Hypothesis Testing
- A/B Testing
Medical Imaging
- DICOM Processing
- Image Segmentation
- 3D Reconstruction
- Radiomics
Web Development
- React
- Next.js
- Node.js
- HTML/CSS
- Tailwind CSS
Databases & Cloud
- PostgreSQL
- MongoDB
- AWS
- Docker
- Git/GitHub
Research & Analytics
- Clinical Data Analysis
- Biostatistics
- Research Design
- Academic Writing
Specialized Expertise
Years in ML & Data Science
Years Database & Information Systems
Published Research Papers
Professional Experience
A track record of impactful contributions across research, healthcare technology, and educational initiatives, with expertise in machine learning and data science.
Research Data Analyst
Sunnybrook Hospital
Toronto, Canada
2023 - July 2025
Led machine learning research in medical imaging with focus on spine fracture risk prediction. Developed deep learning models for DICOM image analysis and clinical decision support systems.
Key Achievements:
- Developed ML models for spine fracture risk assessment using medical imaging data
- Collaborated with radiologists and clinicians to validate model predictions
- Processed and analyzed large-scale medical datasets (DICOM format)
- Published research findings and presented at medical conferences
Teaching Assistant
York University - School of Information Technology (ITEC)
Toronto, Canada
2023 - 2025
Provided comprehensive academic and technical support for database management and system integration courses. Facilitated student learning through hands-on system administration and curriculum development.
Key Achievements:
- Tutored and taught database management courses, helping students master SQL, relational database design, and query optimization
- Provided system integration support including VPN configuration, Oracle database setup, and enterprise system administration
- Marked assignments and exams, providing detailed feedback to improve student learning outcomes
- Designed and created course plans and learning materials for information systems courses
- Invigilated exams and maintained academic integrity protocols
Graduate Research Assistant & MA Graduate
York University - MA Information Systems & Technology
Toronto, Canada
2022 - June 2025
Completed advanced research in machine learning optimization and statistical methods. Contributed to open-source projects and developed novel algorithms for data analysis. Graduated with MA in Information Systems & Technology.
Key Achievements:
- Improved Dual Annealing optimization algorithm in SciPy library
- Implemented Cohen's d effect size statistical method for SciPy
- Conducted comprehensive analysis of medical datasets using advanced statistical methods
- Maintained high academic standing while contributing to multiple research projects
System Developer & AI Consultant
African-Canadian Christian Network (ACCN)
Toronto, Canada
2021 - Present
Providing technical leadership and AI consulting for educational technology and business process automation. Developed full-stack applications and intelligent systems for robotics education and enterprise automation.
Key Achievements:
- Developed full-stack web application for FRC robotics scouting system using React and Next.js, enabling real-time match data collection and analysis
- Created custom Learning Management System (LMS) with integrated AI curriculum implementation for mechanical engineering education
- Automated business processes using Salesforce and Power Automate, improving workflow efficiency and data management
- Designed and implemented AI curriculum integration strategies for robotics and technology programs
- Mentored students in programming, data science, AI, and robotics technologies
Publications & Research
Peer-reviewed publications and research contributions in medical imaging, machine learning, and computational intelligence, showcasing expertise in healthcare technology and algorithm development.
Published Research Papers
Vertebral compression Fracture Risk in Spinal Metastases Patients Following Stereotactic Body Radiotherapy Using Quantitative Imaging Data and Machine Learning
D Gulta, S Chen, G Klein, TD Ross, et al.
IEEE Conference on Medical Imaging • IEEE Conference
Research on vertebral compression fractures (VCFs) in approximately 14% of patients with spinal metastases following treatment with Stereotactic Body Radiotherapy (SBRT). Applied machine learning techniques to quantitative imaging data for fracture risk prediction.
Safe Activity participation Following Elective Total hip replacement: the SAFE-T investigation
A Shah, C Whyne, A Kiss, H Kreder, D Gulta, et al.
BJSM - British Journal of Sports Medicine • British Journal of Sports Medicine
Investigation into safe activity participation following total hip replacement (THR) surgery. Study focuses on evidence-based guidelines for post-surgical activity recommendations among younger individuals undergoing elective orthopaedic procedures.
Improvements to Dual Annealing in SciPy
D Gulta, S Chen
IEEE Latin American Conference on Computational Intelligence • IEEE Latin American Conference
Demonstrated that a typical implementation of Simulated Annealing in continuous domains is effectively equivalent to random search/Hill Climbing. Presented improvements to the dual annealing optimization algorithm for enhanced performance.
Conference Presentations & Speaking Engagements
IGT x ImNO Conference Presentation
2024Sunnybrook Research Institute
Presented research work at IGT x ImNO conference, advancing research and innovation in medical imaging and intervention.
IEEE LA-CCI 2024
2024IEEE Latin American Conference on Computational Intelligence
Presented 'Improvements to Dual Annealing in SciPy' research paper at the IEEE Latin American Conference on Computational Intelligence.
York University International Education Program
2024York University Internationally Educated Professionals Bridging Programs
Delivered inspirational keynote speech to internationally educated professionals on opportunities and career development in technology and data science.
Published Papers
International Conferences
Research Presentations
Keynote Speaking
Achievements & Recognition
Key milestones, conference participation, and professional recognition showcasing continuous growth and contribution to the data science community.
Professional Milestones
Master of Arts in Information Systems & Technology
York University
Graduated with focus on machine learning, data science, and medical imaging applications
Medical Imaging Research Completion
Sunnybrook Hospital
Successfully completed research data analyst role focusing on spine fracture risk prediction using AI
SciPy Library Contributions
SciPy Community
Contributed improvements to Dual Annealing optimization and Cohen's d statistical implementations
Technical Mentor & Consultant
ACCN - Umoja Robotics
Leading AI curriculum development and educational platform creation for robotics programs
ORCID Research Profile
ORCID Registry
Maintaining professional research profile with contributions to medical imaging and ML research
Professional Recognition & Impact
Research Excellence
- • 3+ peer-reviewed publications in top-tier journals
- • Featured in IEEE and BMJ publications
- • Research focus on medical AI and optimization
- • International conference presentations
Leadership & Speaking
- • Keynote speaker at York University programs
- • Technical mentor for educational initiatives
- • Conference presentations and research talks
- • Open-source contributions to SciPy library
Graduate Degree Completed
Years Research Experience
Featured Projects
Professional Roles
Featured Projects
A showcase of impactful projects spanning medical AI, educational technology, open-source contributions, and statistical computing innovations.
York University Data Visualization - Demographics & Hip Pain Analysis
Comprehensive Tableau dashboard analyzing demographics and hip pain patterns. Created as part of York University's data visualization team, showcasing advanced analytics and interactive visualizations for healthcare insights.
Key Features:
- Interactive demographic analysis dashboard
- Hip pain pattern visualization and insights
- Multi-dimensional data exploration capabilities
Spine Fracture Risk Assessment ML System
End-to-end machine learning system for clinical fracture risk assessment using medical imaging data. Developed as part of research at Sunnybrook Hospital.
Key Features:
- Deep learning models for medical image analysis
- DICOM image processing and feature extraction
- Clinical decision support system integration
FRC Robotics Scouting Application
Comprehensive scouting system for FIRST Robotics Competition (FRC 2026 - INTO THE DEEP) developed for Team 7712 ACCN-Umoja. Features real-time data collection, analysis, and sharing capabilities.
Key Features:
- Real-time match data collection and analysis
- Data export and sharing capabilities
- Progressive Web App (PWA) for offline functionality
Umoja Robotics Learning Management System
Comprehensive educational platform for mechanical engineering curriculum in robotics. Features student progress tracking, interactive lessons, assessments, and forum discussions.
Key Features:
- 7-week structured mechanical engineering curriculum
- Student progress tracking and assessment system
- Interactive lessons with hands-on activities
Improvements to Dual Annealing in SciPy
A restart-based version of Hill Climbing with local search optimization algorithm, resembling a memetic algorithm approach for enhanced global optimization performance.
Key Features:
- Enhanced global optimization algorithm
- Memetic algorithm implementation
- Improved convergence performance
Cohen's d Effect Size Implementation
Statistical effect size implementation for SciPy library, providing standardized measure of the difference between two group means in terms of standard deviation.
Key Features:
- Standardized effect size calculation
- Integration with SciPy statistical functions
- Comprehensive documentation and examples
Medical Deep Learning Analysis Portfolio
Comprehensive portfolio showcasing deep learning applications in medical data analysis, including image processing, classification, and predictive modeling.
Key Features:
- Medical image classification models
- Deep neural network architectures
- Performance evaluation and validation
Digital Resume & Portfolio Access
Quick access to my professional profile for recruiters and networking. Scan the QR code or use the direct links below.
📱 Scan to Access Portfolio
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🌐 https://dawitgulta.vercel.app
💼 Professional Resources
Interactive Portfolio
Complete showcase of projects, publications, and technical skills
View PortfolioDownloadable Resume
Professional PDF resume for download and sharing
Let's Connect
I'm always interested in new opportunities, collaborations, and meaningful projects. Feel free to reach out if you'd like to discuss data science, machine learning, or potential partnerships.
Get In Touch
Location
Toronto, Canada
Current Status
MA Graduate - York University (June 2025)
Available for New Opportunities
Research Focus
Medical Imaging & ML
Spine Fracture Risk Prediction
Send a Message
Interested in collaboration or have questions about my work? Feel free to reach out through LinkedIn for the fastest response, or connect with me on GitHub to discuss technical projects. I'm actively seeking new opportunities in data science, machine learning, and research roles.
Direct Email Contact
For direct communication, send me an email with your inquiry or opportunities.
Email Address:
dawitgulta@gmail.com
For Professional Inquiries
Connect with me on LinkedIn for job opportunities, research collaborations, or professional networking.
Message on LinkedInFor Technical Discussions
Check out my GitHub repositories and feel free to open issues or start discussions about technical projects and open-source contributions.
Visit GitHub Profile