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Eldoret
Evans Chemweno
KSh3,000 / hour
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About Evans Chemweno:

I am a Passionate and results-driven Data Analyst with extensive skills in SQL, Python, Tableau, Excel, and Power BI. Proven expertise in transforming raw data into actionable insights through projects like Accenture North America Data Analytics, COVID-19 Global Analysis, and KPMG AU Data Analytics. Excelled in cleaning, modeling, and analyzing diverse datasets, presenting findings through compelling visualizations. Leveraging a Bachelor's degree in Civil and Structural Engineering, I bring a unique analytical perspective. Thrive on solving complex problems, ensuring data accuracy, and delivering impactful insights.

Experience

I am a proficient Data Analyst with a robust skill set in SQL, Python, Tableau, Excel, and Power BI. Armed with a Bachelor's degree in Civil and Structural Engineering, Evans seamlessly bridges engineering principles with analytical prowess. Noteworthy projects include the Accenture North America Data Analytics and Visualization Job Simulation, global COVID-19 analysis, and KPMG AU Data Analytics Job Simulation. These endeavors showcase expertise in complex data analysis, SQL query development, and dynamic visualization creation. Previous internships at Kenya Pipeline Company Limited and Kenya Urban Roads Authority enrich Evans's attention to detail and problem-solving acumen. Evans is poised to contribute valuable insights to any data-driven team.

Education

I hold a Bachelor of Engineering in Civil and Structural Engineering from Moi University in Eldoret, Kenya. This educational background provides a solid foundation in engineering principles, problem-solving, and critical thinking. While the focus is on civil and structural aspects, Evans has leveraged this comprehensive degree to complement and enhance skills in data analysis, making for a unique blend of analytical acumen and engineering expertise. This educational foundation serves as a strong platform for addressing complex challenges and contributing effectively to both engineering and data analytics domains.

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