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Quant Development, Artificial Intelligence, Machine Learning & Data Science
Davide Imperati
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
Davide Imperati's experience is a mix of Academic studies and Industrial experience in quant research and machine learning with an active international working experience in the field of information technology, statistical analysis and data modelling, leveraging NLP, deep learning, reinforcement learning, and forecasting techniques. His interests follow two main threads, the research in the fields of automatic information extraction and presentation, and the development of custom, high performance environments for the optimized solution of applied problems. He gathered experience in application design and development in a wide variety of high performance environments with particular interest in distributed and parallel application design. In early times he focused on large medical databases, with contribution to the design and development of multi-site clinical research projects and imaging processing systems for the neurological and the cognitive science. Further on his interests moved to on-line advertisement, sport event forecasting, corporate banking and finance, on-line marketing.
Markets
United Kingdom
Links for more
Once you have created a company account and a job, you can access the profiles links.
Language
German
Good
English
Fluently
Italian
Fluently
Ready for
Larger project
Available
My experience
2019 - ?
freelance
Contractor
Lloyds.
• Quant Research, NLP, and Machine Learning.
• Trade survelliance
• Multiple Asset Classes including rates futures, bonds, swaps, and FX.
• Trade survelliance
• Multiple Asset Classes including rates futures, bonds, swaps, and FX.
Machine learning, Research, NLP
2018 - ?
job
Director
Betamile.
Company director and principal consultant.
2019 - 2019
job
Interim Director
E.M.Y. Design Ltd.
Interim Director
eCommerce, CTR optimization.
eCommerce, CTR optimization.
Ecommerce, Interim
2018 - 2019
freelance
Contractor at NewsUK
The Times.
NewsUK - The Times
Duties:
• Interface with Directors of Data, Product, and Marketing; Head of Data Science, Product owners, and Head of Technology for experiment setup, weekly updates and report results
• Design Development of new ML models applied to visitor subscription and lead generation - R/Python/BigQuery.
• Production of the models, including development of high performance scalable APIs to serve the model to the front end (about 100mln unique visitors/month) - Java/Python/Docker.
• Docker container of application, app server, web server, and reverse-proxy for the deployment in AWS based Kubernetes cluster.
• CI/CD pipelines - Github/Jenkins/AWS
• Design and implementation of A/B/n Testing of different models against current production solution
• Setup of contextual multi-armed bandit approach for continuous exploration/exploitation of the best available model
• Support standardization of model development life cycle across the central data science team for both batch analysis and on-line, real-time reinforcement learning models.
• Generated uplift in range 5% - 9% depending on product and campaign.
• More details: https://www.inma.org/practice-detail.cfm?zyear=2019&id=6FDAA177-1BE0-4886-B527-985CEF5D16A2
Duties:
• Interface with Directors of Data, Product, and Marketing; Head of Data Science, Product owners, and Head of Technology for experiment setup, weekly updates and report results
• Design Development of new ML models applied to visitor subscription and lead generation - R/Python/BigQuery.
• Production of the models, including development of high performance scalable APIs to serve the model to the front end (about 100mln unique visitors/month) - Java/Python/Docker.
• Docker container of application, app server, web server, and reverse-proxy for the deployment in AWS based Kubernetes cluster.
• CI/CD pipelines - Github/Jenkins/AWS
• Design and implementation of A/B/n Testing of different models against current production solution
• Setup of contextual multi-armed bandit approach for continuous exploration/exploitation of the best available model
• Support standardization of model development life cycle across the central data science team for both batch analysis and on-line, real-time reinforcement learning models.
• Generated uplift in range 5% - 9% depending on product and campaign.
• More details: https://www.inma.org/practice-detail.cfm?zyear=2019&id=6FDAA177-1BE0-4886-B527-985CEF5D16A2
Technology, CI / CD, Production, Campaign, Science, Server, App, Detail, Web, Development, Testing, Support, Implementation, Marketing, Github, Kubernetes, Deployment, R, Jenkins, AWS, Docker, Data Science, Java, Python, Design
2017 - 2018
job
Technology Developer Lead
JPMC.
Vice President - J.P. Morgan Corporate (GTI-CDO) / Global Tech / Chief Data Office
The role is part of the corporate change management program for public cloud adoption.
principal duties:
• Bringing Semantic Web projects (RDF/OWL - SPARQL) at Global Technology scale
• AI on Logging and monitoring of corporate IT in the public cloud (AWS, o365, Azure)
• Implementation of Large scale message brokers and AI pipelines
◦ Federate architecture, design and implementation
◦ Cloud service analysis and on-boarding
* Proof of Concept and profiling
* Evaluation of third party auditing (SOC2/3),
* Cyber-risk assessment and mitigation,
* Internal CDC and Permit to Build
◦ Vendor products/support evaluation and vendor interaction (tech level)
◦ Special focus on resiliency and testing
◦ Stress test and performance tuning
◦ Self-Service configuration and Automated deployment at instance spin-up
◦ Integration of metrics, logging, and monitoring solution on any instance (other teams responsible for OS-Image creations and runtime initialization)
◦ Interaction with internal clients and early adopter of beta implementation
◦ Log routing pipeline for infrastructure monitoring, cyber, lineage, and client app
* Presentation, Analysis, and Visualization of infrastructure monitoring logs
* Presentation, and Metrics on Cyber and Client Apps
◦ Architect big data analytics on streams of unstructured data (log, metrics -> events)
◦ Present results to management (Directors) and support business decisions
The role is part of the corporate change management program for public cloud adoption.
principal duties:
• Bringing Semantic Web projects (RDF/OWL - SPARQL) at Global Technology scale
• AI on Logging and monitoring of corporate IT in the public cloud (AWS, o365, Azure)
• Implementation of Large scale message brokers and AI pipelines
◦ Federate architecture, design and implementation
◦ Cloud service analysis and on-boarding
* Proof of Concept and profiling
* Evaluation of third party auditing (SOC2/3),
* Cyber-risk assessment and mitigation,
* Internal CDC and Permit to Build
◦ Vendor products/support evaluation and vendor interaction (tech level)
◦ Special focus on resiliency and testing
◦ Stress test and performance tuning
◦ Self-Service configuration and Automated deployment at instance spin-up
◦ Integration of metrics, logging, and monitoring solution on any instance (other teams responsible for OS-Image creations and runtime initialization)
◦ Interaction with internal clients and early adopter of beta implementation
◦ Log routing pipeline for infrastructure monitoring, cyber, lineage, and client app
* Presentation, Analysis, and Visualization of infrastructure monitoring logs
* Presentation, and Metrics on Cyber and Client Apps
◦ Architect big data analytics on streams of unstructured data (log, metrics -> events)
◦ Present results to management (Directors) and support business decisions
Web, Implementation, Support, Infrastructure, Monitoring, Testing, Ai, Office, Assessment, Developer, App, Visualization, Tuning, Semantic web, Owl, UP, President, Design, Apps, It, Architecture, Technology, Service, Analytics, Test, Integration, Management, Cloud, Deployment, Big Data, Azure, AWS, Change management
2012 - 2014
job
Quant Developer
Solid Research Ltd.
Quant Developer at Solid Research Ltd. (Malta)
December 2012 - October 2014 (1 years and 11 months)
Sport Event forecasting, principal duties:
• Problem analysis and definition of specifics
• QA, data preparation and analysis, modeling, tooling and implementation.
• Social media analysis
• Web Scraping and indexing of non-structured information
• Testing at unit level up to model level testing.
• Technical writing.
• Different applications of data analysis and data modeling to sport forecasting problems.
• Technologies: pencil and paper, spreadsheet, R, Java/Scala in various flavors and Big Data frameworks, Database and data manipulation tools.
December 2012 - October 2014 (1 years and 11 months)
Sport Event forecasting, principal duties:
• Problem analysis and definition of specifics
• QA, data preparation and analysis, modeling, tooling and implementation.
• Social media analysis
• Web Scraping and indexing of non-structured information
• Testing at unit level up to model level testing.
• Technical writing.
• Different applications of data analysis and data modeling to sport forecasting problems.
• Technologies: pencil and paper, spreadsheet, R, Java/Scala in various flavors and Big Data frameworks, Database and data manipulation tools.
Technical Writing, Social, UP, Web, SOLID, Testing, Implementation, Developer, Sport, QA, Scala, Social Media, Data Modeling, Event, Database, R, Forecasting, Big Data, Research, Writing, Java, Data Analysis
2010 - 2010
job
PostDoc Fellow
New York University.
Topics of Research and Responsibilities:
• Definition, design and implementation of the data processing chain, QA.
• Development and evaluation of exploratory index of neural networks.
• Graph analysis of brain networks
• Statistical analysis, data-mining and clustering of magnetic resonance images
• Implementation of the processing pipelines on a cluster at a fellow institute
• Scientific writing
• Definition, design and implementation of the data processing chain, QA.
• Development and evaluation of exploratory index of neural networks.
• Graph analysis of brain networks
• Statistical analysis, data-mining and clustering of magnetic resonance images
• Implementation of the processing pipelines on a cluster at a fellow institute
• Scientific writing
Design, Writing, Research, Scientific Writing, QA, Implementation, Neural networks, Development, Processing
2008 - 2010
job
PostDoc Fellow
Max Plank Institute.
Topics of Research and Responsibilities:
• Study, description and visualization of cortical networks in the human brain using non-invasive methods.
• Scientific software development and mathematical modelling.
• Computer simulations, planning of the MR acquisitions, collection and elaboration of multi-dimensional, multi-modal data sets.
• Coordination of multi-site experiments on distributed facilities.
• Study design, Data analysis, and data modelling
• Performance monitoring and speed accuracy tradeoff in human brain
• Scientific writing
• Study, description and visualization of cortical networks in the human brain using non-invasive methods.
• Scientific software development and mathematical modelling.
• Computer simulations, planning of the MR acquisitions, collection and elaboration of multi-dimensional, multi-modal data sets.
• Coordination of multi-site experiments on distributed facilities.
• Study design, Data analysis, and data modelling
• Performance monitoring and speed accuracy tradeoff in human brain
• Scientific writing
Design, Data Analysis, Writing, Research, Software development, Scientific Writing, Monitoring, Development, Software, Visualization
1999 - 2001
job
Teacher at ITSOS
State Technical Institute with Special Organization.
Teacher of computer science at the State Technical Institute with Special Organization (ITSOS) M. Curie, Cernusco S/N, Italy.
Employed as substitute teacher, the appointment has been extended to cover the whole period of three years with the exception of school holidays.
Employed as substitute teacher, the appointment has been extended to cover the whole period of three years with the exception of school holidays.
Science
1997 - 2001
freelance
Independent software consultant
unknown.
Development of software and firmware for embedded systems, barcode readers and interfacing with computers.
Embedded, Firmware, Development, Software
My education
2005
-
2009
Università degli Studi di Milano
Doctorate, Applied mathematics and computational statistics
Doctorate, Applied mathematics and computational statistics
2002
-
2004
Universität Leipzig
Certification, N/a
Certification, N/a
2000
-
2005
Università degli Studi di Milano
Masters, Computer science
Masters, Computer science
1992
-
1997
n/a
Certification, Computer Science
Certification, Computer Science
University of Milan
Masters, Comparison of white matter tracts reconstruction
Masters, Comparison of white matter tracts reconstruction
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