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Python Engineer with 1+ years in Data Analysis & Software Development
Detail-oriented Mathematics and Computer Science graduate with practical experience in Python development, data analysis, software support, and process automation. Skilled in building data-driven solutions using Python, SQL, JavaScript, PHP, HTML, CSS, and Microsoft Excel, with hands-on experience in data processing, reporting, visualization, and system operations. Experienced in developing analytical and automation tools for energy performance benchmarking and operational reporting using Python and related technologies. Strong understanding of problem-solving, statistical analysis, debugging, and software engineering principles, with the ability to work collaboratively in fast-paced and multidisciplinary environments. Passionate about AI technologies, scalable software solutions, and continuous learning in data and software development. My career objective is to secure a challenging role in Python development, data analytics, or AI-related projects where I can apply my skills in software development, data analysis, automation, and problem-solving to build efficient, scalable, and data-driven solutions, leveraging Python, analytical tools, and emerging technologies to support innovation, optimize processes, and contribute to organizational growth while continuously expanding my technical expertise.
Jomo Kenyatta University of Agriculture and Technology (JKUAT)
Bachelor of Science · Mathematics and Computer Science
August 1, 2018 – June 30, 2022
Gatero Girls High School
Kenya Certificate of Secondary Education (KCSE)
June 1, 2014 – May 31, 2017
Minjore Primary School
Kenya Certificate of Primary Education (KCPE)
August 1, 2013 – June 30, 2013
MAJICOM – Kenyatta University
Supervisor - Majicom Project
March 1, 2026 – Present
Kenya
ENERGY AND PETROLEUM REGULATORY AUTHORITY
Energy Efficiency Intern
December 9, 2024 – December 9, 2025
Kenya
NATIONAL INDUSTRIAL TRAINING AUTHORITY (NITA)
Data & Operations Intern
September 1, 2022 – November 30, 2022
Kenya
Energy Efficiency Ratio (EER) Computation System – EPRA
December 1, 2024 – Present
Assisted in designing and developing a data-driven system for computing Energy Efficiency Ratios (EER) for designated facilities under Kenya's Energy Management Regulations 2024/2025. Applied Python programming to automate energy performance calculations, reducing manual processing time and improving reporting accuracy. Integrated JavaScript, HTML, and Bootstrap to support user interaction, structured data presentation, and improved accessibility of analytical outputs. Supported data validation, cleaning, and preprocessing of structured datasets collected from energy audit reports and benchmarking exercises. Contributed to improving energy performance analysis and regulatory reporting workflows through automation and process optimization. Collaborated with multidisciplinary teams to support system functionality, reporting consistency, and regulatory compliance objectives.
Energy Data Visualization & Benchmarking System – EPRA
December 1, 2024 – Present
Developed automated data visualization tools using Python and Graphviz to analyze and visualize energy efficiency datasets from the International Energy Agency (IEA). Generated visual analytical reports and benchmarking models to support trend analysis, energy performance evaluation, and regulatory assessments. Organized and interpreted structured and unstructured datasets to identify performance trends and support data-driven decision-making. Applied statistical analysis and reporting techniques to improve interpretation of energy consumption and efficiency indicators. Supported the preparation of technical and analytical reports for regulatory and operational use.
Data Analysis & Reporting Projects
December 1, 2024 – Present
Conducted data cleaning, preprocessing, analysis, and interpretation of operational and regulatory datasets using Python and Excel. Utilized Python libraries such as Pandas and NumPy to organize datasets, identify inconsistencies, and improve data accuracy and integrity. Created analytical summaries, dashboards, and reports to support operational monitoring and strategic decision-making. Applied statistical and analytical techniques to evaluate trends, generate insights, and support evidence-based reporting processes. Maintained structured records and datasets to ensure reliable reporting and efficient information retrieval.
ERP & Digital Records Management Support – NITA
September 1, 2022 – November 30, 2022
Assisted in ERP system operations and digital records management to support efficient administrative workflows and accurate data processing. Managed structured datasets involving candidate biodata, examination records, and assessor claims while ensuring data consistency and integrity. Supported software installation, system configuration, and troubleshooting activities for operational continuity. Conducted document processing, digital scanning, and organized data management to improve record accessibility and workflow efficiency.
Cultural Fit Analysis
The candidate's project diversity, particularly in energy efficiency and data management, shows an ability to adapt to different domains. Their involvement in community outreach activities and team collaboration aligns with a positive cultural fit. However, the current supervisor role at MAJICOM, while demonstrating leadership, is less technically focused than the target role, which might indicate a slight misalignment in immediate technical contribution expectations.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving abilities, is highly organized, adaptable, and proactive. Their experience in team collaboration and project coordination, particularly in the current supervisor role, indicates good operational fit and leadership potential. The candidate also shows a passion for continuous learning and leveraging emerging technologies.