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Machine Learning Intern (Los Angeles)

Private Team by Pablo Dylan

Collaborated with a high-performing dynamic team of Machine Learning and Data Science experts, gaining hands-on experience in system design, teamwork, and successfully contributing to new and challenging domains. Focused on delivering high-quality results under pressure in a fast-paced environment.

• Performed end-to-end data acquisition, transformation, and feature engineering, including rolling averages, Z-Scores, and normalization, to improve dataset quality and ensure optimal model training conditions.
• Designed and implemented an efficient, scalable data pipeline enabling seamless data processing and model integration.
• Developed and deployed a custom neural network architecture to address specific financial forecasting challenges, leveraging state-of-the-art machine learning techniques.
• Adapted quickly to new domains, demonstrating flexibility and commitment to producing impactful solutions.

Bachelor

Czech Technical University

Electrical Engineering and Computer Science