Peter Kamesa | Data Scientist | Meteorological Technologist

Peter Kamesa

Data Scientist | Meteorological Technologist

Based in Nairobi, Kenya

About

I am a skilled Meteorological Technologist and Data Scientist with a strong background in weather forecasting, data analysis, and machine learning. I am passionate about applying my expertise to support disaster preparedness and climate research. My goal is to leverage my knowledge and experience in a challenging environment, contributing to an organization's success by delivering data-driven insights and solutions.

Skills

Projects

Public Dashboard for Maji Ndogo Water Infrastructure.

This Project leverages data visualization to monitor progress, optimize costs, and improve water access. It provides actionable insights for stakeholders to ensure transparency, accountability, and sustainable development.

Transforming Water Access in Maji Ndogo.

This project delivers tailored dashboards, financial models, and interactive tools. It empowers decision-makers to prioritize resources, plan infrastructure upgrades, and improve community water access.

Maji Ndogo Crime Analysis.

This project integrates diverse datasets using Power BI to analyze water access disparities, infrastructure, and societal impacts. By providing interactive dashboards and actionable insights, the project empowers decision-makers to address critical water source issues and promote equitable access.

https://drive.google.com/file/d/1pAfQlpk8RnDu_ouQdCY1qTIyb5qKCCTD/view?usp=sharing

This system optimizes water usage by delivering water precisely when and where it is needed. By utilizing sensors, weather data, and real-time monitoring, this system can adjust irrigation schedules and durations based on soil moisture levels and environmental conditions.

Experience

2019-2024

meteorological technologist at MAB

As a Meteorological Technologist at MAB, I specialize in monitoring, collecting, analyzing, and interpreting weather data to support weather forecasting and climate research. My responsibilities include operating and maintaining meteorological instruments, collecting and processing weather data, issuing route forecasts, and ensuring the accuracy of reports. I collaborate with meteorologists to provide timely and reliable data, contributing to air operation safety, environmental studies, disaster management, and public safety initiatives. My role has enhanced my analytical skills and deepened my understanding of atmospheric processes, making me a valuable asset in data-driven decision-making.

Education

2023-2024

ALX foundations

I completed the ALX Foundations program in Data Science, where I gained a strong foundation in key areas essential to the field. The program covered Data Analysis & Visualization, Data Management and Ethics, Data Technical Competency, Tech Ecosystem, and Managing Complex Tasks. . Through hands-on projects and real-world scenarios, I developed a strong foundation in critical thinking, teamwork, and effective communication. This program has equipped me with the skills necessary to excel in both technical and collaborative environments, laying the groundwork for my further studies and professional development.

2018-2019

Diploma in meteorology

I hold a Diploma in Meteorology, where I acquired in-depth knowledge and practical skills in atmospheric sciences, weather observation, and forecasting techniques. The program covered key areas such as Aviation meteorology, synoptic meteorology, climatology, satellite meteorology, Agrometeorology, and hydrometeorology. I gained hands-on experience in using meteorological instruments, collecting and analyzing weather data, and understanding weather patterns and climate variability. This diploma has provided me with a solid foundation to accurately observe, interpret, and predict weather conditions, supporting my role as a Meteorological Technologist and enabling me to contribute effectively to weather forecasting and climate research.

2023-2024

Data Science at ALX Africa

I completed a comprehensive data science program with a strong focus on both foundational and advanced topics. My coursework included: Programming and Data Manipulation: Mastery of Python and SQL for data wrangling, cleaning, and manipulation. Statistical Analysis: In-depth study of statistical methods and their application to real-world data. Machine Learning: Practical experience with supervised and unsupervised learning, including model building and evaluation. Data Visualization: Proficiency in tools like Power BI and Matplotlib to create compelling data stories. Project Management: Hands-on projects, including trend analysis in Nairobi County, where I applied my skills to analyze and interpret complex datasets.

Sept 2024-Present

Internet of Things at ALX-Angaza Elimu

I am currently pursuing an IoT course at ALX-Angaza Elimu, where I am gaining hands-on experience and in-depth knowledge of IoT systems, sensors, networks, and data management. The program equips me with the skills to design, develop, and deploy IoT solutions for real-world applications. My coursework includes working with embedded systems, cloud computing, and smart technologies, enabling me to create innovative and efficient solutions to address modern challenges in connectivity and automation.