Data Scientist
Current- Coordinated two data science projects that extracted meaningful insights from complex datasets. The data analysis techniques developed, including the design and implementation of machine learning models, enhanced by a.
- Engineered the CI/CD pipeline that automated the data analysis, from the data preprocessing to the statistical interpretation of the data.
- Developed software for data preprocessing (cleaning, visualization, modeling) and performed statistical analysis on the selected data to test for the presence of a new particle, resulting in a factor 2 improvement.
- Optimized the data selection by implementing an algorithm that maximized the chance of detecting the signal produced by a new particle in the LHC data.
- Created a tool for statistical interpretation and data visualization, which reduced the time to get the results from more than a week to a single day. Tool used by two research teams.
- Built a predictive model able to estimate the misidentification rate of the electron charge in the LHC data using data-driven techniques. Results used by a team of around 40 people.
Aug 2015 - Present
