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Data Analyst with 1+ years in Data Visualization and Predictive Modeling
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Assessing your cultural and operational fit
Nafisah Adams is a highly motivated data science and analytics student with practical experience in data visualization, cleaning, and predictive modeling. Proficient in Python, R, SQL, and Excel, she has developed interactive dashboards, analyzed large datasets, and contributed to data-driven decision-making in various internships and projects. Her expertise spans machine learning, statistical analysis, and creating solutions for diverse industries, including finance, agriculture, and healthcare.
UNITED STATES INTERNATIONAL UNIVERSITY-AFRICA
BSC.DATA SCIENCE AND ANALYTICS · Data Science and Analytics
N/A – June 30, 2026
Zestra Capital
Data Analyst Intern
May 1, 2026 – Present
Kenya
Excelerate
Data Visualization Associate Intern
May 1, 2025 – June 1, 2025
India
Nyla Bank
Data Analyst Intern
July 1, 2024 – December 1, 2024
Ghana
Farm North GH
Data Analyst (Project-Based)
January 1, 2023 – December 1, 2023
Ghana
Medical Image Segmentation and classification
March 1, 2026 – April 1, 2026
Co-designed an end to end deep learning pipeline that combines image segmentation and classification Used a U-Net model that isolates relevant regions in blood smear images and a CNN that classifies as infected or uninfected. Received a 0.95,0.94 and 0.92 accuracy in dice score, IoU score and classification accuracy respectively.
ML Decision Support System for Maize Yield Prediction (Nigeria)
September 1, 2025 – April 1, 2026
Designed a study to investigate the accuracy of different ML models on maize yield prediction. Applied and compared different ML models including XGBOOST, SVR and Ensemble models to identify best performing model for maize Yield prediction. Designed a decision support tool using streamlit to fit the best model with 84% accuracy, added a section that collects data on pest outbreaks for decision making.
github.com/Adams-Nafisah
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans various industries (finance, agriculture, education) and types of projects (academic, internships, project-based), indicating adaptability and a broad interest in applying data analysis skills. The volunteer experience also suggests a commitment to impact-oriented work. The target role of Data Analyst aligns well with the candidate's demonstrated skills and career trajectory, particularly with the focus on data visualization, predictive modeling, and stakeholder reporting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and contribute to decision-making. The internship experiences suggest a capacity for learning and applying new tools in a professional setting. The MEL volunteer role shows initiative in data collection, evaluation, and monitoring, which aligns with a structured approach to data analysis.