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Vital-Ahishakiye/README.md

Welcome to Vital's GitHub Page!

Data Scientist with expertise in extracting, modeling, and analyzing complex datasets to deliver actionable insights and data-driven solutions. Skilled in Python, SQL, Power BI, and AWS, with strong foundations in machine learning, predictive modeling, and statistical analysis. Experienced in end-to-end data workflows, from data ingestion and cleaning to modeling, visualization, and solution delivery. Passionate about transforming data into impactful solutions across sectors.

🛠️ Tech Stack:

• Programming & Tools: Python, SQL, Git, Excel, Word, PowerPoint

• Data Science & ML: Predictive Modeling, Regression, Classification, Clustering, Time Series, Feature Engineering, Model Evaluation, Deep Learning (CNNs)

• Data Handling: ETL/ELT, Data Cleaning & Preprocessing, API Integration, Data Profiling, Data Quality Validation

• Visualization & Reporting: Power BI, Tableau, Streamlit, Matplotlib, Plotly, Excel, Dashboards, Data Storytelling

• GIS & Spatial Analytics: ArcGIS Pro, QGIS, Geospatial Analysis

• Soft Skills: Analytical Thinking, Stakeholder Communication, Cross-functional Team Collaboration, Project and Team Management

🚀 Projects Worked On:

Selected Projects:

• Employment Modeling – Rwanda (NISR): Applied ML on Rwanda’s 2022 census to identify unemployment drivers, producing evidence-based policy recommendations.

• ECD Education Dashboard (Rwanda): Built interactive dashboards revealing rural–urban disparities in early childhood education, enabling evidence-based policy targeting.

• Hospital Survey Analysis (RBC and KOFIH): Cleaned and analyzed hospital survey data to highlight training needs and service gaps, directly informing resource allocation and healthcare workforce planning.

• Automated Palm Tree Detection and Yield Prediction (CHARIS-UWAS): Built a deep learning pipeline using drone imagery to map farmlands in West Africa, cutting processing time from 12 minutes per image to under 1 second; co-developed a pilot yield quantification framework across Rwanda.

• DeFtunes ETL Pipeline (Capstone): Developed a cloud-based data pipeline using AWS S3, dbt, and Redshift following a medallion architecture for a digital music platform, automating data validation, cleaning, and transformation to support analytics and ML workflows.

Volunteer Work

Social Affairs Minister in the Student Guild 2024 (CMU-Africa)

I am eager to connect with professionals in data science and analytics to collaborate on innovative solutions that create meaningful impact.

linkedin

Popular repositories Loading

  1. Vital-Ahishakiye.github.io Vital-Ahishakiye.github.io Public

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  2. Vital-Ahishakiye Vital-Ahishakiye Public

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