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Data Analyst with 3+ years in data collection & visualization.
Analytical, detail-oriented, and results-driven professional with hands-on experience in data collection, cleaning, analysis, and visualization using SQL, Python, Excel, and Power BI. Skilled in designing digital data tools, managing large datasets, and developing insightful dashboards to support data-driven decision-making. Experienced in leading teams and coordinating operations, ensuring data quality, and collaborating effectively in multicultural teams. Passionate about leveraging data and AI for impact in transforming lives. Demonstrated ability to deliver timely, accurate results while upholding standards, controls, and a results-oriented approach in fast-paced environments.
alx_africa
Data Science · Data analytics and machine learning
January 5, 2025 – February 26, 2026
Jomo Kenyatta University of Agriculture and Technology
Bachelor of Science Microbiology · Microbiology
August 1, 2017 – June 30, 2022
Remote Data Analyst
Remote Data Analyst
May 1, 2025 – Present
India
National Agricultural and Rural Inclusive Growth Project (NARIGP)
Research Assistant
April 1, 2023 – April 1, 2025
India
Google Data Analytics
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience in multicultural teams and facilitating stakeholder engagement indicates a good potential for cultural fit. Their passion for leveraging data and AI for impact aligns with a results-oriented and innovative culture. The diverse project experience, including agricultural and remote data analysis, suggests adaptability and a broad perspective, which can contribute positively to team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in leadership, team coordination, and stakeholder engagement through their experience as a Research Assistant. Their profile highlights effective written and verbal communication, critical thinking, and adaptability, which are crucial for operational fit in a data-driven environment. The experience in coordinating field activities also suggests good organizational and logistical capabilities.