Ing. Shibly Aziz
Bis 2021, Junior Data Scientist, CoCoNet
Abschluss: Software Engineering, Universität Duisburg-Essen
Essen, Deutschland
Über mich
Graduated from the Faculty of Computer Engineering (Software Engineering). I have a strong academic background and a real passion for software development. My previous work experience includes internships in the Software industry and IT services company. Impecableknowledge for initiating applications with Algorithms, Data structure, Artificial Intelligence, Machine Learning, Deep Learning, Recurrent Neural Networks, and Software Development & Project Implementation. I have completed my thesis ''Predicting User Payment Patterns from Big Data Lake using Recurrent Neural Networks'' in a Software Company at Düsseldorf in collaboration with the Research and Development team. Contact Details: saziz.ds@gmail.com
Werdegang
Berufserfahrung von Shibly Aziz
• Built predictive model using various machine-learning tools for user's possible future payments with a 95% accuracy • Analyzed data sets and helped companies make decisions based on findings • Utilized algorithmic and programming tools to build helpful predictive models • Performed exploratory data analysis and discovered notable relationships.
• Developed web applications which processed, analyzed, and rendered data visually • Liaised with back-end developers, front-end developers and quality assurance testers. • Managed time-sensitive updates, including content changes and database upgrades.
Ausbildung von Shibly Aziz
3 Jahre und 3 Monate, Okt. 2017 - Dez. 2020
Bachelor of Science
Universität Duisburg-Essen
• C, C++, Java • Grundlagen der künstliche Inteligenz ( Introduction to Artificial Inteligence ) • Software Technik ( Software Technology) • Datenbank ( Database System ) • Datenstruktur und Algorithmen ( Data Structure and Algorithm ) • Automatisierungstechnik ( AutomationTechnology )
Sprachen
Deutsch
Gut
Englisch
Fließend