Lorenzo Perozzi Email & Phone Number

Gland, Vd, Ch

Lausanne, Vaud, Switzerland

Since 12.2022: Data Scientist on mission at the Services Industriels de Lausanne- Collaborated with cross-functional teams to implement data-driven GIS solutions for clients, integrating geographic information to optimize energy distribution and reduce costs.- Designed and executed experiments to validate the effectiveness of models and algorithms incorporating GIS data- Utilized tools such as Python, SQL, and QGIS to analyze and manipulate data, incorporating GIS data for… Show more Since 12.2022: Data Scientist on mission at the Services Industriels de Lausanne- Collaborated with cross-functional teams to implement data-driven GIS solutions for clients, integrating geographic information to optimize energy distribution and reduce costs.- Designed and executed experiments to validate the effectiveness of models and algorithms incorporating GIS data- Utilized tools such as Python, SQL, and QGIS to analyze and manipulate data, incorporating GIS data for advanced spatial analysis. Show less

Gland, Vaud, Switzerland

• Realized a Discrete Fractures Network (DFN) modeling for geothermal reservoir characterization.• Developed a web application for the exploration of the depth of the Molasse using different interpolation methods• Web GIS app development

Geneva, Canton Of Geneva, Switzerland

Data analysis, modeling, and uncertainty quantification for geothermal project development using (geo)statistics and machine learning:• GECOS: Conceived and realized a web-based decision-making tool for the assessment of geothermal projects (gecos.geoenergy.ch)• HEATSTORE: Assessment of storage potential in high-temperature aquifer thermal energy storage (HT-ATES) systems.

Quebec, Canada

Development, management and realization of predictive geodata analysis products in the mining industry:• PREDIKOR: Automatic drill cores description using deep learning (predikor.ca).• UNBOX: Automatic drill cores pictures linearization using deep learning.Consulting services:• Characterized a gas reservoir using geostatistics and machine learning;• Improved subsurface porosity prediction using machine learning and geostatistics. • Realized seismic inversion and… Show more Development, management and realization of predictive geodata analysis products in the mining industry:• PREDIKOR: Automatic drill cores description using deep learning (predikor.ca).• UNBOX: Automatic drill cores pictures linearization using deep learning.Consulting services:• Characterized a gas reservoir using geostatistics and machine learning;• Improved subsurface porosity prediction using machine learning and geostatistics. • Realized seismic inversion and geomechanical parameter characterization using machine learning. Development of courses in data geoscience. Show less

Québec, Quebec, Canada

Quebec

Machine learning workflows development for:• geotechnical hazard prediction in deep mines.• gold prediction from well logs

Quebec, Canada

Geostatistical modeling of the thermal conductivity for residential geothermal projects.

3+ year experience in uncertainty modeling for reservoir characterization

Edmonton, Canada Area

Internship at the Experimental Geophysics Group (EGG) where I have performed several ultrasonics measurements on sandstones saturated with CO2.

GIS vectorization of geological maps of Switzerland at the Risk Analysis group- project coordination;- design of automation tools for vectorization.

Doctor Of Philosophy (Phd), Geophysics, Seismology And Geostatistics

In this thesis I extensively used data integration tools to characterize a geological site for CO2 Capture and storage (CCS).

Data Science In Python, Data Science

1-on-1 mentorship program to learn tools and techniques to become a junior data scientist. From data scraping to model prediction, this.

Master Of Science (Msc), Geophysics

In this thesis a stochastic approach for the seismic tomography data inversion has been useful to image massive sulphide geometry between.

Master Of Science (Msc), Engineer Geologist

In this thesis a series of tomographically inverted surfaced-based electrical resistivity profiles, indicate that potential contaminant.

Bachelor'S Degree, Geology