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.
<p>Currently developing a comprehensive Irrigation Information Management System as part of my second industrial attachment, contributing to sustainable agricultural development in Baringo County.<br>
Leading the design and development of an integrated irrigation management system to optimize water resource allocation and agricultural productivity.<br>
Building robust databases to track irrigation infrastructure, water usage patterns, and crop yield data across multiple agricultural zones.<br>
Implementing data analytics solutions to provide actionable insights for agricultural planning and resource optimization.<br>
Collaborating with county officials, agricultural officers, and farming communities to understand requirements and ensure practical system implementation.<br>
Utilizing Python, SQL, and data visualization tools to create user-friendly dashboards for decision-makers.<br>
Developing metrics and KPIs to measure system effectiveness and agricultural productivity improvements.<br>
Creating a scalable solution that will enhance irrigation management and support food security initiatives in Baringo County.</p>
<p>Analyzing complex datasets to unveil actionable insights.<br>
Developing predictive models to forecast trends.<br>
Translating data findings into strategic recommendations.<br>
Supporting project success and client satisfaction.<br>
Working remotely from Nairobi County, Kenya.</p>
<p>Conducted data cleaning, transformation, and exploratory data analysis (EDA) to ensure data quality and suitability for modeling.<br>
Assisted in developing machine learning models to predict trends and outcomes based on available datasets.<br>
Contributed to automating data processing pipelines, significantly reducing manual intervention and improving efficiency.<br>
Worked closely with stakeholders to understand their needs and deliver data-driven insights for strategic decision-making.<br>
Developed interactive dashboards and visualizations to communicate findings and insights to non-technical stakeholders.<br>
Provided access to work and projects during the internship at abayo-brian.vercel.app.</p>
<p><u>Data Researcher – IMS-Baringo Cidu Project</u></p><p></p><p> 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.</p>
<p><u>Data Researcher – Fraud Detection Project</u></p><p></p><p> 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.</p>
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