Mikhael Wehbi

Developed and implemented monitoring and evaluation frameworks to assess project effectiveness, efficiency, and impact Analyzed quantitative /qualitative data using statistical software (e.g., SPSS or Python) and visualization tools (e.g., Power BI, Tableau) to generate insights and recommendations for program improvement Created and maintained data management systems using tools such as SQL databases or Excel Developed and applied statistical models and algorithms to derive insights and predictive models

Developed a Python tool for extracting data from Twitter and Facebook using their respective APIs, allowing for efficient and automated data collection. Produced reports and visualizations based on the extracted data, presenting insights and findings related to election-related discussions and trends Worked closely with the Election Observation Mission team to provide timely updates on social media activities and trends during the electoral process.

Taught students fundamental concepts and practical skills in areas such as programming, database management and networking Collected, cleaned, and analyzed large datasets from various sources to uncover patterns, trends, and insights