Data Science student and freelance data scientist with hands-on experience in machine learning, data analysis, and web development. Skilled in Python,R, SQL, and visualization tools, with a strong background in agricultu…
Data Science student and freelance data scientist with hands-on experience in machine learning, data analysis, and web development. Skilled in Python,R, SQL, and visualization tools, with a strong background in agricultural, business, and geospatial data projects. Passionate about applying analytics to solve real-world problems.
Currently developing a comprehensive Irrigation Information Management System as part of my second industrial attachment, contributing to sustainable agricultural development in Baringo County.
Leading the design and development of an integrated irrigation management system to optimize water resource allocation and agricultural productivity.
Building robust databases to track irrigation infrastructure, water usage patterns, and crop yield data across multiple agricultural zones.
Implementing data analytics solutions to provide actionable insights for agricultural planning and resource optimization.
Collaborating with county officials, agricultural officers, and farming communities to understand requirements and ensure practical system implementation.
Utilizing Python, SQL, and data visualization tools to create user-friendly dashboards for decision-makers.
Developing metrics and KPIs to measure system effectiveness and agricultural productivity improvements.
Creating a scalable solution that will enhance irrigation management and support food security initiatives in Baringo County.
Analyzing complex datasets to unveil actionable insights.
Developing predictive models to forecast trends.
Translating data findings into strategic recommendations.
Supporting project success and client satisfaction.
Working remotely from Nairobi County, Kenya.
Conducted data cleaning, transformation, and exploratory data analysis (EDA) to ensure data quality and suitability for modeling.
Assisted in developing machine learning models to predict trends and outcomes based on available datasets.
Contributed to automating data processing pipelines, significantly reducing manual intervention and improving efficiency.
Worked closely with stakeholders to understand their needs and deliver data-driven insights for strategic decision-making.
Developed interactive dashboards and visualizations to communicate findings and insights to non-technical stakeholders.
Provided access to work and projects during the internship at abayo-brian.vercel.app.
Data Researcher – IMS-Baringo Cidu Project Developed a web app combining Python and HTML using a Flask-like structure (app.py, templates, static files). Managed dependencies with requirements.txt and deployment setup via Procfile. Designed UI with HTML and integrated Python logic for interactive functionality. Deployed a functional application architecture using modular components and standard deployment practices.
Data Researcher – Fraud Detection Project Developed a Random Forest–based banking fraud detection model, improving accuracy and reducing false positives. Utilized Python (Pandas, NumPy, Scikit-learn), Jupyter Notebook, and data visualization tools for analysis and model evaluation. Delivered a scalable, real-time detection framework with actionable insights for operational efficiency and customer trust.
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