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godfrey_siez33

Godfrey M

@godfrey_siez33

Professional Data Analyst and Research Writer

Kenya
English
About me
I’m a professional data analyst skilled in Excel, Power BI, SPSS, SQL, and Python. I specialize in data cleaning, statistical analysis, dashboards, and reports that turn raw data into clear insights. Whether for business growth or academic research, I deliver accurate, fast, and easy-to-understand results. Let’s transform your data into smart decisions. Order now for impactful results!... Read more

Skills

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godfrey_siez33
Godfrey M
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See my services

Bulk Articles
I will professionally rewrite or humanize your ai generated content
Marketing Analytics
I will do data analysis, statistical analysis, excel, spss, python

Portfolio

Work experience

Data Analyst

Fiverr International • Freelance

Apr 2023 - Present3 yrs 1 mo

I provide professional data analytics services for businesses and academic researchers. My work focuses on transforming raw datasets into meaningful insights through statistical analysis, dashboards, and data visualization. Key responsibilities and achievements: • Data cleaning, transformation, and preprocessing using Excel, Python, and SQL • Development of interactive dashboards using Power BI and Looker Studio • Statistical analysis including regression, correlation, ANOVA, and hypothesis testing • Survey data analysis from platforms such as Qualtrics, Google Forms, and SurveyMonkey • Business intelligence reporting and market research analysis • Analysis of large datasets to identify trends and support data-driven decision making Tools used: Excel, Power BI, Python (Pandas, NumPy), SPSS, SQL, Looker Studio

Data analyst /Research assistant

Rencon associates Limited • Full-time

May 2019 - May 20223 yrs

Worked as an Data engineer involved in engineering analysis, energy management assessments, and technical data analysis for infrastructure and industrial projects. Key responsibilities included: • Conducting energy audits and energy performance assessments for commercial and industrial facilities • Collecting, cleaning, and analyzing energy consumption data to identify efficiency improvement opportunities • Developing analytical reports and dashboards to support engineering decision-making • Supporting implementation of energy management strategies and regulatory compliance assessments • Using Excel and analytical tools to interpret operational data and generate actionable insights • Collaborating with multidisciplinary engineering teams to evaluate system performance and recommend improvements