Loris Pilotto

I recently obtained a master’s degree in Data Science from EPFL, where I developed a passion for Neural Networks and their power. Developing new models is a challenge I am always happy to take. I also have experience building statistical models to provide business data insights.

Data scientist at Swissquote SA

August 2021 – March 2022 

As a Data Scientist in the Quantitative Asset Management department of Swissquote, my roles and objectives were: 

• Perform SQL queries from different databases related to the bank’s clients habits.

• Clean, process and analyze up-to-date data. • Produce ML models (Neural Networks with Tensorflow, XGBoost, regressions, …), descriptive statistics and data visualization on Python 3.

• Communicate important information to the head of the Quantitative Asset Management of Swissquote.

Master thesis at Swissquote SA

February 2021 - August 2021

My mission was to implement and evaluate different state-ofthe-art ML models trained on Swissquote Bank’s transactional and customers data for stocks recommendation: 

• Train 3 benchmark models (Popularity, Naïve-Bayes or Matrix Factorization based) and 2 Deep Neural Networks Recommender Systems (Autoencoder and NeuMF). 

• Evaluate the different models on more than 10 (relevance or satisficing) metrics.

Master semester project in the MIP:lab

September 2020 - January 2021

This project aimed at segmenting human’s brain arteries:

• Image processing project supervised by a Neuroradiologist.

• Implementation and training of different Convolutional Neural Networks (2D and 3D U-Nets) on 3D CT scans using TensorFlow in Python 3.

• Visualization of the 3D predictions to perform fully automatic human cerebral arteries segmentation to guide endovascular treatment of ischemic stroke.

Machine learning project in the LPBS

September 2019 - January 2020

Implementation and testing of state-of-the-art image processing model (DenseNetFCN-3D) for C. elegans neurons semantic classification on TensorFlow.

2019-2021: Master in Data Science with a minor in MTE Ecole Polytechnique Fédérale de Lausanne

During my master, I learned how to process data and train powerful models.