MSc. Computational Science and Engineering
04.2021 - 10.2024

Grade: 2.5

Fundamentals of Machine Learning: Introduction to key concepts and techniques in machine learning.
Advanced Artificial Intelligence: Focused on intelligent information systems and advanced AI methods.
Explainable AI and Reasoning under Uncertainty: Explored transparency in AI models and decision-making under uncertain conditions.
Data Warehouses, Business Intelligence, and Data Mining: Comprehensive study of data management and analysis techniques.
Cloud Computing and High-Performance Computing: Gained expertise in scalable computing and processing large datasets.
Computational Intelligence in Automation: Applied intelligent systems to automate complex processes.
Analysis of Partial Differential Equations: Studied mathematical techniques for solving complex physical and engineering problems.
Numerical Mathematics: Focused on numerical methods for approximating solutions to mathematical problems.

Bachelor of Engineering in Automotive
08.2016 - 04.2020

Grade: 1.6

Statistics and Analysis: Mastered statistical techniques and their applications in data analysis.
Computer Programming and Utilization: Developed strong programming skills and practical knowledge of software tools.
Technical Business and Management: Learned business principles and management techniques for technical industries.
Engineering Economics and Management: Gained insights into economic analysis and decision-making in engineering projects.
Vector Calculus and Linear Algebra: Built a solid foundation in advanced mathematical concepts for engineering applications.

Bhavadip Dobariya

Data Enthusiast