Hi! I'm Eugenia!
I am a Data Scientist with experience in both industry and research. I am particularly interested in geospatial data analysis and machine learning interpretability.
Project Portfolio
Building a Web Application to detect Breast Cancer in Ultrasound images
An End to End Web App to detect anomalies from ECG signals with Streamlit
Deep Q-network with Pytorch and Gym to solve the Acrobot game
Articles
A Practical Introduction to Geospatial Data Analysis using QGIS
How to create a strong Data Science Portfolio for free
How to deploy your ML model using DagsHub+MLflow+AWS Lambda
A Comprehensive Guide to Image Augmentation using Pytorch
An introduction to Probability Sampling Methods
My Pandas Cheatsheet for Exploratory Analysis and Data Manipulation
Education
Work Experience
Data Scientist at CRIF
December 2022 - Present
Working on an automated valuation model for residential real estate and on other problems related to finance, insurance and geospatial data analysis.
Research Fellow at the Department of Information Engineering of University of Padova
October 2021 - October 2022
Anomaly Detection for Industry machinery. The research is focused on continual learning combined with anomaly detection.
Technical Writer on Medium
December 2020 - Present
I wrote articles about Machine Learning for Towards Data Science, Towards AI, Better Programming, and Data Series
Statwolf Data Scientist intern
March 2021 - June 2021
Created an anomaly detection System able to identify automatically abnormal behaviors of the compacting machine. The isolation forest combined with three intepretability techniques, SHAP, AcME and DIFFI, were used to detect and interpret the potential root causes of the anomalies.