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Julius Segbedzi

@juliussegbedzi

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Economist and Data Scientist specializing in computer vision and ML.

Ghana

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What I'm looking for

I seek ML/AI roles focused on computer vision or medical imaging with opportunities for research, model interpretability, and measurable impact.

I am an economist-turned-data scientist with 2+ years building machine-learning solutions, microservices, and REST APIs in Python. I have delivered predictive models and data products that improved operational metrics—reducing service wait time by 30%, improving customer retention by 15%, and increasing engagement by 25%—and I contribute to reproducible pipelines for segmentation and interpretability.

Currently I am advancing work in interpretable deep learning and uncertainty estimation through a computer vision lab internship, focusing on CNN and transformer models, Grad-CAM explainability, and Bayesian uncertainty techniques. I am passionate about continuous learning in AI, eager for practical challenges in medical image analysis, and ready to apply ML to drive measurable business and research outcomes.

Experience

Work history, roles, and key accomplishments

Current

Computer Vision Lab Intern

Current

WorldQuant University

May 2025 - Present (5 months)

Researched interpretable deep learning and uncertainty estimation for medical imaging, built CNN and transformer models for classification, and applied Grad-CAM and Bayesian methods to improve explainability and predictive reliability.

Python PyTorch TensorFlow Grad CAM CNN Transformers

Data Scientist and Analyst

Agricultural Development Bank

Jul 2022 - Aug 2023 (1 year 1 month)

Developed predictive models to forecast loans and deposits, reduced service wait time by 30%, performed churn and high-value customer classification that improved retention by 15% and engagement by 25%.

Python Pandas NumPy Forecasting Classification SPSS Data Visualization Excel

Research Analyst

Yaba Stores

Apr 2021 - Oct 2021 (6 months)

Analyzed COVID-19 impacts on e-marketing and forecasted e-commerce trends, increasing farmer participation by 50% and driving a 15% growth in digital investments through data-backed recommendations.

Excel SPSS Forecasting Data Analysis Reporting Cloud Storage

Research Assistant

University of Ghana

Sep 2020 - Aug 2021 (11 months)

Led economic impact surveys covering 15% of households and processed institutional survey data to inform stakeholder decisions, contributing to a 20% increase in adoption of the Sawbo rapid test policy.

Survey Design R SPSS Data Processing Statistical Analysis Excel