Lorenzo Gagliardi Email & Phone Number

Milano, Lombardia, It

Working as Leader of the Machine Learning Team.● Support Technical Presales in drafting project proposals, determining technical specifications, presenting to clients and Business Presales the scope and the value of the defined solution. Drafted projects in a variety of technical fields with estimated efforts worth 1000+ working days.● Define roadmaps and new machine learning related features for internal products with Product Owners and Product Managers, drafting new developments effort for more than +200 days. Achievements include the integration of Generative AI using LLMs to produce responses in a search engine.● Supervise projects phases and communicate to stakeholders the efficiency and performance of delivered solutions. Achievements include building a classification process handling automatically more than 77% of incoming traffic with errors down to 0,1% for one of the major players in the insurance industry or implementing an RNN for time series forecasting with a +99% accuracy for a PA agency.

Madrid , Es

Working in the AI team and specializing in data science.● Define metrics and statistical indicators to assess the effectiveness ofreleased products. Provide clients with reports on Data Studio.● Collaborate with team members in exploring datasets, performing datacleansing, and experimenting with algorithms on Google Colab or AI Platform Jupyter Notebooks.● Build ETL pipelines and DAGs with cloud-native services, such asKubernetes cronjobs, BigQuery, Pub/Sub, Dataflow. Achievementsinclude the implementation of a pipeline to feed a recommendationssystem for the website of a major player in the retail industry.● Build ML pipelines in TensorFlow Extended and Kubeflow to fullyautomate an ML model training phase, evaluation, publishing, andserving predictions, especially exploiting Google AI Platform services.Achievements include the industrialization of a client proprietary DNNdesigned to predict prices of second-hand objects.● Applied Computer Vision and NLP algorithms to diverse use cases.Achievements include the development of a custom algorithm to countgroups of people in a crowd entering a counting zone, and theclassification of tickets using BERT and clusterization algorithms.

Madrid , Es

Bioggio, Ch

University internship. The work done has been the subject of my master thesis.● Applied time-series analysis to forecast policy sales.● Built a probabilistic model to predict the future state of the reserve of a health insurance policy. More precisely an Inhomogeneous Poisson process with a time-varying rate to include seasonal effects.● Studied the likelihood-ratio test to select the best process rate.● Programmed in R to process data and estimate parameters. Then simulated the stochastic process to forecast reserve states.

Master Of Science - Ms, Mathematical Statistics And Financial Mathematics

Laurea Magistrale Lm, Matematica

Laurea Triennale, Matematica

High School Diploma, Lettere/Studi Umanistici