Valentina Pancaldi

ML Model to Predict Litigation Risk in Insurance Claims Currently developing a machine learning model that estimates, for each individual claim, the probability that it will end up in litigation — based on features learned from historical claims data.

Following the same 5-stage...

Logistic Regression from Scratch for Pneumonia Detection in Chest X-Rays Built a binary classification model from scratch (no ML libraries — implemented gradient descent and the loss function manually) to detect pneumonia from chest X-ray images, for a Numerical Methods course...

Built a forecasting model to predict the number of insurance claims expected over the next 6 months, broken down by business-relevant categories, for a large-scale insurance claims dataset.

The project followed a full 5-stage process: business & data understanding, data...

Data analyst working with SQL, Python, PySpark and Databricks — currently building forecasting models on insurance claims data.

Open to new opportunities — freelance, contract, part-time or full-time. If you need a hand cleaning a dataset, building a model, or automating something with Python, let's talk.