Keys responsibilities: - Coordinate efforts with other areas such as Product, Engineering, Delivery, and Support. - Understanding the needs and scope of solutions. - Identifying business opportunities for the department and assessing their impact on the final product. - Developing project plans, establishing milestones, and ensuring efficient execution. - Team management and performance. - Managing department resources and budgets. - Effective communication of findings and recommendations. - Implementation of cutting-edge technologies to enhance performance and facilitate continuous improvement. - Ensuring that data science practices comply with applicable security standards and regulations. - Close collaboration with cross-functional departments to identify opportunities and proactively address business challenges.

Professor of Machine Learning Techniques in the Big Data Master's Program at ORT University.

Specialized business intelligence course focusing on marketing and e-commerce

The goal was to analyze user behavior within the newspaper's website and other associated domains and analyze differents segments for ADs impact. Keys responsibilities: - Statistical Modeling and Machine Learning: Developed and implemented models for insights and predictions. - Data Analysis and Reporting: Conducted exploratory analysis and generated detailed reports. - Data Preprocessing and Transformation: Cleaned and transformed data to ensure quality. - Programming and Algorithm Optimization: Used Python, R, and SQL to implement and enhance algorithms. - Collaboration and Effective Communication: Team collaboration and communication of results to diverse audiences.