Robert Fenech Adami

Enthusiastic data scientist with hands-on experience in machine learning applications, specializing in Python, together with a proven track record in creating dynamic web applications and data-driven solutions.

EU CSRD Taxonomy

• Collaborated with Semmtech B.V., Dutch consultancy firm, in producing a linked date sustainability reporting taxonomy. Was responsible in developing the UI, together with implementing a basic recommender system.

Bird Image Classification

• Developed a bird species classification model and pipeline using DenseNet pre-trained models

IMDB Big Data Pipeline

• Developed a pipeline using PySpark to efficiently predict movie ratings

Master Thesis,

• Combining Clustering and Association Rule Mining for Enhanced Cluster Interpretability

Supervised Learning - IBM