MOHAMED SAADELDIN

Experienced Data Quality Team Leader with 4+ years of expertise in GIS project management and data quality assurance. Skilled in data validation, ISO compliance, and Python scripting for geospatial analysis and GIS workflow automation. Proficient in exploratory data analysis, data visualization, hypothesis testing, logistic regression, and machine learning models (Naive Bayes, decision trees). Strong proficiency in Python, Tableau, and spreadsheets for comprehensive data analysis, cleaning, and visualization. Notable achievements include rectifying 22,663 data entry errors and improving GIS workflows across multiple regions in Saudi Arabia. Core strengths: leadership, strategic planning, predictive modeling, and quality-driven data analysis.

• Google Advanced Data Analytics Certificate, 01/27/25, Coursera (Google Career Certificates), Foundations of Data Science, Get Started with Python, Go Beyond the Numbers: Translate Data into Insights, The Power of Statistics, Regression Analysis: Simplify Complex Data Relationships, The Nuts and Bolts of Machine Learning, Google Advanced Data Analytics Capstone
• Advanced GIS & Python Training, 2022 - 2024, ESRI Online Courses, Creating Python Scripts for Raster Analysis, Python Scripting for Geo-Processing Workflows, Python Scripting: Modifying Map Series, Data QC with ArcGIS: Visual Review, Data QC with ArcGIS: Automating Validation, Managing Data Quality Using ArcGIS Data Reviewer
• ISO Quality Management Standards Training, 06/01/22, Expertise in ISO 9001:2015, ISO 45001:2018, and ISO 21500:2018 for enhanced project quality.
• Six Sigma Green Belt Certification, 04/01/18, Milford University, Cairo, Egypt, Specialization in process improvement and efficiency enhancement.
• Quality Control Practices Course, 01/01/18, Royal Academy, Cairo, Egypt, Mastered industry-leading quality control methodologies.