Rediet Gelaw
Summary
Data analytics graduate student pursuing a Master’s in Artificial Intelligence with experience in Python, SQL, R, and exposure to Tableau, and Power BI. Skilled in data analysis, visualization, and reporting to support data-driven decision-making. Hands-on experience in AI/ML and generative AI, including building predictive models and developing AI-powered chatbots solutions
Overview
2
2
years of professional experience
Work History
Clinical Imaging & IT Support
Capital Eye Care
06.2025 - 02.2026
- Executed diagnostic imaging procedures, including visual field testing and OCT scans, capturing precise data for patient evaluation and treatment.
- Troubleshot hardware and software issues, resolved system access problems, and managed password assistance for clinical staff, enhancing support efficiency.
- Maintained systems and ensured device functionality, facilitating uninterrupted clinical operations.
Medical Intake and Data Coordinator
ProCare Home Health
06.2024 - 02.2025
- Managed patient intake data within EMR systems, ensuring accurate documentation, insurance verification, and HIPAA-compliant data handling
- Performed data validation and maintained data integrity across patient records and intake processes
- Coordinated communication between clinical and administrative teams to streamline workflows and improve operational efficiency
- Organized and updated patient records to ensure consistency and accessibility within electronic health systems
Education
Master of Science - Artificial Intelligence - Data Analytics
Indiana Wesleyan University
Marion, IN12-2026
Bachelor of Science - Computer Science
St. Cloud State University
Saint Cloud, MN08-2024
Skills
- Data Analytics & Programming: SQL, Python, R
- Data Visualization & Reporting: Excel (Pivot Tables, VLOOKUP, Data Validation), Power BI, Tableau
- Statistical Methods: Descriptive Statistics, Regression (Linear/Logistic), Trend Analysis)
- AI/ML Frameworks: TensorFlow, Keras, Natural Language Processing, Deep Neural Networks
- Tools: Microsoft Office, Google Analytics, Google AI Platform
Projects
CareBot – AI-Powered Healthcare Assistant Mar 2026 - May 2026
- Developed a generative AI chatbot using large language models (LLMs) and Retrieval-Augmented Generation (RAG) to deliver accurate, context-aware healthcare responses
- Designed and implemented conversational workflows with prompt engineering to improve response quality and user experience
- Integrated structured healthcare data sources to ensure relevant, consistent, and reliable information for patient support
Performance & Trend Analysis (Cricket Analytics Project) Jan 2026- Mar 2026
- Analyzed large-scale historical datasets to identify performance drivers, efficiency metrics, and key trends
- Applied statistical analysis in R to evaluate correlations and uncover actionable insights
- Built dashboards and executive-level reports using Excel to communicate findings and support data-driven decisions
Predictive Modeling for Image Classification July 2025- Oct 2025
- Developed a convolutional neural network (CNN) using TensorFlow to perform image classification with high accuracy
- Preprocessed and structured large-scale image data using Python (NumPy, Pandas) to improve model performance
- Optimized model results through hyperparameter tuning and iterative evaluation to enhance prediction accuracy
Coursework
- Large Language Models & Generative AI
- Machine Learning
- Predictive Model Development
- Deep Learning
- Data Structures and Algorithms
- Statistical Analysis
Timeline
Clinical Imaging & IT Support
Capital Eye Care
06.2025 - 02.2026
Medical Intake and Data Coordinator
ProCare Home Health
06.2024 - 02.2025
Master of Science - Artificial Intelligence - Data Analytics
Indiana Wesleyan University
Bachelor of Science - Computer Science
St. Cloud State University