
Data Analyst with 2+ years in Data Analysis & Business Intelligence
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a Bachelor's in Computer Science. Expert in transforming fragmented data into actionable business intelligence using SQL, Power BI, and Python. Specialized in building automated reporting systems and interactive dashboards that drive data-informed decision-making.
Kirinyaga University
Bachelor of Science · Computer Science
N/A – June 30, 2023
Tech4Dev
Data Engineering
August 1, 2025 – Present
India
Mpraim
Data Analyst
February 1, 2025 – July 1, 2025
India
National Cereals & Produce Board (NCPB)
ICT Intern
July 1, 2022 – September 1, 2022
India
Stock Price & Risk Intelligence Dashboard
June 1, 2026 – Present
• Built a comprehensive Streamlit application for time-series forecasting and scenario-based risk scoring. • Automated data ingestion from financial APIs, providing users with real-time market sentiment analysis.
View ProjectHybrid Content Recommendation System
June 1, 2026 – Present
• Engineered a recommendation engine using Python that combined popularity-based and content-based filtering logic. • Performed deep EDA on viewer preference datasets to identify emerging trends in content consumption.
View ProjectPower BI
DataCamp
January 1, 2025 – Present
Data Analyst
DataCamp
January 1, 2025 – Present
Data Analytics
ALX Africa
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including financial intelligence and content recommendation systems, shows a broad interest in applying data analysis across different domains. Their current role in Data Engineering and previous Data Analyst role align well with a data-centric organizational culture. The certifications and personal projects indicate a self-driven individual committed to continuous learning and skill development, which is a strong cultural fit for dynamic and innovative environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work (e.g., automating record-keeping, building recommendation systems). Their experience in translating complex findings into visual narratives suggests good communication and presentation skills. The diverse project portfolio indicates adaptability and a proactive approach to learning and applying new technologies.