Adi Froimovich

Enthusiastic Data Analyst proficient in Python, R, and SQL, with a solid track record of handling complex datasets. Skilled in advanced statistical modeling techniques, I excel in deriving actionable insights to drive business growth. My strong analytical abilities, combined with a deep understanding of data science principles, empower me to tackle real-world challenges through insightful data analysis, contributing positively to organizational objectives.

World Happiness Report Analysis

For my World Happiness Report Analysis, I utilized Python to conduct comprehensive statistical analysis and explore causal inference. By leveraging Python's capabilities, I delved into the data to uncover underlying trends and relationships, shedding light on factors influencing global happiness levels. The project aimed to provide insights into the complex interplay of socio-economic variables. 

Pancreas Segmentation with Deep Learning 

Reimplemented a pioneering paper in medical image segmentation during DL course with MSc program. Utilized Deep Learning techniques to refine pancreas segmentation with Attention U-Net architecture and CT-82 dataset, enhancing accuracy vital for diagnosing and treating pancreatic diseases, significantly impacting medical image interpretation. 

Israel Crime Data Analysis

In my Tableau project on Israel's crime data, I crafted interactive visualizations to highlight crime trends across regions and timeframes, aiding law enforcement in strategic decision-making.