Data Analyst with 3+ years in data analysis, machine learning, and business strategy
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Analytical and commercially driven Data Analyst with a Bachelor's in Economics and Statistics. Proven ability to act as the bridge between commercial objectives and technology, translating complex business needs into clear technical tasks. Highly proficient in SQL, Python (Pandas), and creating interactive dashboards (Power BI, Tableau) to empower non-technical stakeholders. Eager to apply my background in fast-paced data evaluation and stakeholder management to drive sales, growth, and customer satisfaction.
University of Nairobi
Bachelor of Economics and Statistics · Economics and Statistics
August 1, 2021 – June 30, 2025
Cift Markets
Quantitative Analyst | Lead Developer
October 1, 2025 – Present
India
Self-Employed
Data Scientist & Machine Learning Engineer
August 1, 2024 – Present
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Accenture
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Kenya National Police Sacco
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AWS Machine Learning Fundamentals
Udacity
January 1, 2025 – Present
Machine Learning with Python: Linear Models to Deep Learning
MITx (EDX)
January 1, 2024 – Present
AI Programming with Python
Udacity
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Business Analytics
Udacity
January 1, 2023 – Present
Python for Data Science
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's diverse experience, including self-employment, internships, and a quantitative analyst role, shows adaptability and a proactive approach to career development. Their involvement in open-source contributions and mentoring aspiring data scientists indicates a collaborative and community-oriented mindset. The breadth of skills across data analysis, visualization, and machine learning suggests a versatile individual who can integrate well into various team structures.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their ability to bridge technical and business requirements, and present complex data to non-technical stakeholders. Their experience in cross-functional collaboration and stakeholder management indicates good operational fit. The psychometric test score suggests strong logical reasoning and work attitude, which are beneficial for a data analyst role.