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Matteo Lenoci

Data Scientist / AI & ML / Human

projects.

Predictive Justice & explainability

Prediction on Italian IMU tax litigations using two neural network, Gru & LSTM, custom Attention layer for each. Focus on explainabilty through visualization of attention layer weights on text, LIME and N-GRAM analysis

 Python
 Tensorflow
 LIME

PM2.5 Universal Kriging

Analysis of a public dataset from U.S.A - EPA. Focus on pm2.5, prediction using kriging interpolation.

 R

Pharma sales time series

Classic and modern time series forecasting, different prediction and accurate analysis.

 R
 ARIMA

Wisconsin breast cancer prediction

Dataset with 29 features about brest cancer. Principal component analysis followed by a logistic regression; decision tree alghoritm for a different perspective.

 R
 pca
 rpart

about.

In my 20s, I gained a lot of experience as a salesman, traveling the world and training teams of people.

In addition, my real passions are IT, data, and statistics, so I have completed my master's degree in "Economics and Business Analytics", 110 cum laude.

Using my passions to provide value in my work is my dream.

Few words, yet the right ones, describe me.

Languages and tools


Python R TensorFlow Pytorch Scikit learn HTML VsCode Jupyter PyCharm Linux

contact.

Get in touch with me