Pier Luigi Segatto, Ph.D. work email
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Pier Luigi Segatto, Ph.D. personal email
Over the past 8 years, my career has woven through the domains of data science, machine learning, e-commerce, digital marketing and the fintech industry, transitioning from roles in mathematical modeling and programming to leading data science initiatives. My early professional journey was enriched by tackling complex engineering challenges and developing predictive models that leveraged machine learning to interpret and forecast ecosystem dynamics and climate change from vast, global datasets.Since 2022, I have taken on a leadership role in the data & data science domain within a dynamic fintech startup environment. My expertise has deepened in areas such as the Google Cloud Platform, database optimization, and advanced data engineering, applying machine learning and deep learning across diverse applications including revenue forecasting, credit scoring, anomaly detection, marketing spending optimization, and financial simulations such as cashflow and P&L predictors.A significant part of my recent work involves the integration of generative AI and large language models into practical business solutions, including chatbot systems and tools for insight generation, which have revolutionized our approach to marketing and financial planning. My proficiency extends to building end-to-end, production-ready web applications that incorporate AI and adhere to the latest MLOps standards, ensuring scalability, efficiency, and rapid deployment.I am deeply involved in creating solutions that leverage REST APIs, ETL processes, and third-party integrations to streamline and enhance business operations. My commitment to clear communication has been crucial in making complex datasets understandable and presenting them to diverse audiences, ensuring that data-driven insights are accessible and actionable.My passion for machine learning, which was the core of my Ph.D. dissertation, continues to drive my professional endeavors. I am also deeply interested in the direct application of data science in finance and quantitative trading, continuously enriching my knowledge through courses and practical experience.As I forge ahead, I am keen on exploring new horizons where I can apply my blend of technical prowess, strategic insight, and leadership to foster innovation and operational excellence in data-centric organizations.
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Chief Technology OfficerViceversaMilan, It -
Data Team LeadViceversa Oct 2022 - PresentMilan, Lombardy, Italy -
Data ScientistViceversa Jan 2022 - Oct 2022Milan, Lombardy, Italy -
Data Scientist ResearcherEpfl (École Polytechnique Fédérale De Lausanne) Aug 2016 - Nov 2021Lausanne, Vaud, Switzerland● Intensely been involved in problem solving situations: identifying the problem, breaking down the problem to smaller building blocks, building an analytical approach to tackle the problem, and finally putting the approach into action.● Been dealing with very large data sets, and I was both creating and processing these data sets by intensive coding in different programming languages (MATLAB, Python)● Performed numerical analysis and designed spatio-temporal models in order to gain insight from them.● Gained expertise in model optimization and parameter estimation, particularly in the Bayesian framework using Markov chains Montecarlo algorithms.● Large use of Machine Learning to extrapolate in time and space observational datasets.● Developed global scale statistical analysis of error propagation to understand the sensitivity of employed models on the upscaling from local scale.● Published the results of my work in several prestigious scientific journals and also presented them orally in well-known international conferences. -
Data AnalystEcole Polytechnique Fédérale De Lausanne Sep 2015 - Aug 2016Losanna, Vaud, Svizzera● SEMP (Swiss-European Mobility Programme) winner.● Strengthened my skills in data preprocessing, assimilation, and exposition.● Learned to select the optimal approach for simulating time series and their forecasting.● Worked in collaboration with ECHO-EPFL (epidemiology and hydrology Lab) where I developed predictive models of solutes transport in soils and hydrological models at catchment scale. -
Visiting Research ScientistUniversità Ca' Foscari Venezia Jan 2020 - Aug 2020Venezia Mestre, Veneto, Italia● Winner of the SNF mobility grant.● Collaborated with an international team to develop machine learning algorithms for time series prediction.● Strongly developed my skills in machine learning and learned to apply the best approach to the specific problem. -
R&D, Selling OptimizationFluorital S.R.L. Jun 2008 - Sep 2009Treviso, Veneto, Italia
Pier Luigi Segatto, Ph.D. Education Details
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Civil Engineering -
110/110 Cum Laude -
105/110
Frequently Asked Questions about Pier Luigi Segatto, Ph.D.
What company does Pier Luigi Segatto, Ph.D. work for?
Pier Luigi Segatto, Ph.D. works for Viceversa
What is Pier Luigi Segatto, Ph.D.'s role at the current company?
Pier Luigi Segatto, Ph.D.'s current role is Chief Technology Officer.
What is Pier Luigi Segatto, Ph.D.'s email address?
Pier Luigi Segatto, Ph.D.'s email address is pi****@****rsa.com
What schools did Pier Luigi Segatto, Ph.D. attend?
Pier Luigi Segatto, Ph.D. attended Ecole Polytechnique Fédérale De Lausanne, Università Degli Studi Di Padova, Università Degli Studi Di Padova.
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