Dan D'silva

Hello! I'm Dan, a passionate Machine Learning enthusiast with a proven track record in leveraging data to drive business solutions. 

Technical Proficiency: Skilled in Python, C++, SAS, and SQL for machine learning and data analysis. Experienced with TensorFlow and scikit-learn libraries, showcasing a deep understanding of modern ML frameworks and tools.

Application in Industry: As a Credit Risk Analyst at HSBC:

• Developed a Python-based neural network model optimized for bookings, successfully influencing a key strategic change at HSBC.
• Used ReLU and Sigmoid activation functions for the model, showcasing hands-on experience with activation mechanisms critical for deep learning.
• Automated multiple data tools using SAS and SQL, enhancing data analysis capabilities, showcasing adaptability, and application of different programming languages in a real-world setting.

University of Birmingham:

BSc in Mathematics: Hons 2:1. Acquired foundational knowledge in mathematics, critical for machine learning and data science roles.

Key Modules:

• Numerical Methods & Programming: Gained expertise in C++ and applied various numerical methods, providing a solid grounding in algorithmic techniques.
• Probability & Statistics and Further Statistics: Gained foundational knowledge critical for data analysis, predictive modeling, and statistical inference in machine learning.
• Mathematical Modelling & Problem Solving: Collaborated within a team to solve and model complex mathematical problems, mirroring the collaborative and problem-solving nature of machine learning projects.
• Mathematics in Industry: Built mathematical models for analyzing stock markets, showcasing the practical application of mathematical techniques in real-world scenarios.