Data Researcher
Grow Biointensive Centre Of Kenya
Thika, Kenya
As a Data Researcher, my responsibilities involved gathering, analyzing, and interpreting data to provide valuable insights and support decision-making within the organization. This role required combining strong analytical skills with a deep understanding of data sources, tools, and techniques.Key Responsibilities:1. Data Collection: I gathered data from various sources, such as databases, APIs, web scraping, surveys, and more, ensuring data quality and integrity through validation and cleansing processes.2. Data Analysis: I utilized statistical and data analysis tools (e.g., Python, R, Excel) to explore datasets, identify trends, patterns, and anomalies, and extracted meaningful insights.3. Hypothesis Testing: I formulated hypotheses and conducted A/B tests or other statistical tests to validate findings and make data-driven decisions.4. Data Visualization: I created compelling visualizations (charts, graphs, dashboards) to effectively communicate findings to stakeholders, making complex data accessible.5. Predictive Modeling: I built predictive models using machine learning techniques to forecast future trends, customer behavior, or business outcomes.6. Data Interpretation: I translated data findings into actionable recommendations for business improvements, strategies, or optimizations.7. Data Reporting: I prepared regular reports and presentations to share insights with stakeholders, including management, executives, and teams across the organization.8. Data Governance: I ensured data security, compliance with regulations (e.g., GDPR), and maintained data documentation.9. Continuous Learning: I stayed updated on the latest data analysis tools, technologies, and industry best practices to improve my data research capabilities.