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LLM Engineer with 1+ years in data analysis, machine learning & LLM workflows.
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in data cleaning, exploratory data analysis, dashboard development, machine learning and model deployment. Skilled in Python, SQL, Excel and Power BI with experience building analytics dashboards and predictive models to support business decision-making.
Kwame Nkrumah University of Science and Technology
BSc · Computer Science
N/A – June 30, 2024
Really Great Tech
Data Analyst / LLM Engineer
October 1, 2024 – September 1, 2025
Accra, Greater Accra Region, Ghana
Global Heart Disease Dashboard
June 16, 2026 – Present
Developed interactive dashboard analyzing global cardiovascular health data across 195+ countries from WHO, World Bank and Global Burden of Disease (GBD) datasets. Built comprehensive visualizations revealing heart disease trends, risk factors, and mortality patterns across 195+ countries. Deployed with Dash/Plotly framework for real-time data exploration and policy decision support.
View ProjectCardio Risk Predictor
June 16, 2026 – Present
Built a machine learning model to predict heart disease risk using data from Kaggle. Performed data preprocessing, feature preparation, model training, and model evaluation. Designed an interactive Power BI dashboard to explore patterns across age, symptoms, health readings, and test-result groups. Built a Streamlit prediction app for user input and heart disease risk output.
View ProjectIntroductory Data/AI Certificates
IBM
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying new technologies. The focus on health-related data in personal projects aligns with impactful applications of AI. The experience as a Data Analyst / LLM Engineer, even if short-term, shows direct alignment with the target role. The breadth of tools and technologies used indicates adaptability and a willingness to explore different solutions. However, the limited professional experience might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate an ability to work on end-to-end data science and machine learning projects, from data preparation to deployment and visualization. The focus on HR analytics and international client data suggests an ability to translate technical insights into business value. The mention of working with developers using Git/GitHub implies an understanding of collaborative development practices.