Machine Learning Intern

Research Intern

During my internship, I carried out tasks within a research team focused on machine learning systems. My main responsibilities encompassed the entire data workflow and the implementation of predictive models, requiring a high degree of autonomy as well as effective collaboration with the team.

Key Responsibilities & Achievements:

• Data Analysis & Preprocessing: Responsible for analyzing and preparing real-world datasets for subsequent modeling phases.
• Algorithm Implementation: Successfully analyzed, selected, and deployed predictive algorithms, ensuring a deep understanding of their mechanics and inner workings.
• Version Control Management: Documented all assigned tasks and source code using version control tools (Git), maintaining best practices and repository clarity.
• Presenting Results: Regularly and clearly presented project outcomes, findings, and data analyses during internal research team meetings.

Skills & Technologies:

• Technical: Data Analysis, Data Preprocessing, Predictive Modeling, Version Control (Git).
• Soft Skills: Proactivity & Initiative, High Sense of Responsibility, Teamwork, Technical Communication & Presentation Skills.