Summary
Ahmed Tarek is a machine learning researcher and applied data scientist with eight years of experience bridging clinical pharmacy, telecom, and bioinformatics. Currently a Research Assistant and PhD student at Universität des Saarlandes, he applies R and Python to epigenetics and aging datasets while bringing production ML experience from telecom fraud detection, network root-cause analysis, and insurance fraud projects. Trained as a PharmD with advanced diplomas in data science and bioinformatics, he uniquely blends clinical domain knowledge with hands-on model development and teaching experience (gradient descent, neural nets, recommenders). He has a track record of turning unstructured health data into actionable insights and has built practical tooling and forecasting models across agriculture, security, and commercial analytics. Quietly, he pairs academic rigor with product-minded delivery — moving models from research prototypes to operational systems.
8 years of coding experience
5 years of employment as a software developer
Diploma, Data Science and Big Data, Diploma, Data Science and Big Data at Information Technology Institute (ITI)
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Universität des Saarlandes
Diploma, Bioinformatics, Diploma, Bioinformatics at Nile University
Doctor of Pharmacy - PharmD, Clinical, Hospital, and Managed Care Pharmacy, Doctor of Pharmacy - PharmD, Clinical, Hospital, and Managed Care Pharmacy at Alexandria University
Non-Degree Courses, Biotechnology, Non-Degree Courses, Biotechnology at Institute of Graduate Studies and Research
Bachelor of Science (B.Sc.), Clinical Pharmacy, CGPA 3.57, Bachelor of Science (B.Sc.), Clinical Pharmacy, CGPA 3.57 at Minia University
Arabic, English, German