Muhammad Abdullah

Data Science • Conducted comprehensive analysis and pre-processing of data • Employed statistical analysis methods to identify trends, patterns, correlations in data and valuable insights crucial for informed decision making and strategic planning Machine Learning • Development and implementation of new methods for benchmarking AI models in the field of Health. • Played a role in implementing an AI validation platform designed to evaluate machine learning models based on various metrics.

Data Analysis and Visualization • Acquired and processed diverse datasets using advanced techniques for data preparation, cleaning, and statistical analysis to extract insights, identify trends, and facilitate data-driven decision-making. • Created interactive dashboards and designed engaging data visualizations, incorporating complex KPIs • Employed M Query, DAX, and Python scripts within Power BI to extract and analyze data, generating actionable insights

Data Science • Utilized advanced techniques to acquire and process diverse datasets, ensuring accuracy through thorough data preparation, cleaning and conducting statistical analysis to unveil insights crucial for data-driven decision-making. Machine Learning • Partnered with aiaudit.org in machine learning research, regulation, and software development to foster dependable AI technology. • Contributed to the implementation of the Al4H Audit platform utilizing AWS infrastructure.

• Collaborated with AI, Data, and Business Analytics teams to analyze client data for actionable insights. • Employed advanced data analysis techniques to predict future trends and support data-driven decisions. • Created detailed executive reports analyzing call and agent data to improve client satisfaction and business results. • Used SQL/MySQL for data querying from various databases, ensuring data accuracy and issue resolution. • Assisted in client deployments and created documentation and SOPs