Carlo Contaldi
Senior Data Scientist at CASAFARI- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
Italiano Native or bilingual proficiency
-
Inglese Full professional proficiency
-
Portuguese Professional working proficiency
Topline Score
Bio
Katia Margarito
Carlo is one of the best students I ever met. He is a rare balanced mix of intellectual acumen and relational wisdom. He is knowledgeable, energetic and proactive, things that make him a natural leader in the teams he works in. Therfore I warmly recommend him as a talented manager that will deliver value to any company will employ him.
Katia Margarito
Carlo is one of the best students I ever met. He is a rare balanced mix of intellectual acumen and relational wisdom. He is knowledgeable, energetic and proactive, things that make him a natural leader in the teams he works in. Therfore I warmly recommend him as a talented manager that will deliver value to any company will employ him.
Katia Margarito
Carlo is one of the best students I ever met. He is a rare balanced mix of intellectual acumen and relational wisdom. He is knowledgeable, energetic and proactive, things that make him a natural leader in the teams he works in. Therfore I warmly recommend him as a talented manager that will deliver value to any company will employ him.
Katia Margarito
Carlo is one of the best students I ever met. He is a rare balanced mix of intellectual acumen and relational wisdom. He is knowledgeable, energetic and proactive, things that make him a natural leader in the teams he works in. Therfore I warmly recommend him as a talented manager that will deliver value to any company will employ him.
Credentials
-
ML Pipelines on Google Cloud
Google Cloud Skills BoostJun, 2023- Nov, 2024 -
IELTS 6.5
British CouncilFeb, 2014- Nov, 2024 -
European Driving License – Category B
-
Experience
-
CASAFARI
-
Portugal
-
Real Estate
-
100 - 200 Employee
-
Senior Data Scientist
-
Feb 2021 - Present
-
-
Data Scientist
-
Mar 2019 - Feb 2021
-
-
-
University of Illinois Chicago
-
United States
-
Higher Education
-
700 & Above Employee
-
Professional Research Assistant
-
Sep 2016 - Sep 2018
Furthered research in the field of Evolutionary Computation applied to Bayesian network structure learning. ▪ Devised novel crossover operator able to enhance evolutionary exploitation and improve overall performance; produced, published and presented related paper at GECCO'17, premier conference in the field. ▪ Extended and converted M.S. thesis work into scientific article; published it in top-tier AI journal (AIRE). Furthered research in the field of Evolutionary Computation applied to Bayesian network structure learning. ▪ Devised novel crossover operator able to enhance evolutionary exploitation and improve overall performance; produced, published and presented related paper at GECCO'17, premier conference in the field. ▪ Extended and converted M.S. thesis work into scientific article; published it in top-tier AI journal (AIRE).
-
-
-
GE Digital
-
United States
-
Software Development
-
700 & Above Employee
-
Brilliant Factory - IT Intern
-
Apr 2017 - Oct 2017
Joined cross-functional team to standardize and integrate into business framework new automated manufacturing system. ▪ Successfully managed and prioritized multiple project activities in deadline-driven environment. ▪ Fluently communicated with suppliers and consultants so as to ensure fulfillment of business demands. ▪ Kept track of all IT issues and supported their catch and resolution. Assessed predictive analytics feasibility for a challenging business demand (Work Order lead… Show more Joined cross-functional team to standardize and integrate into business framework new automated manufacturing system. ▪ Successfully managed and prioritized multiple project activities in deadline-driven environment. ▪ Fluently communicated with suppliers and consultants so as to ensure fulfillment of business demands. ▪ Kept track of all IT issues and supported their catch and resolution. Assessed predictive analytics feasibility for a challenging business demand (Work Order lead time prediction). ▪ Classified, analyzed and extracted features from relevant information in business data lake. ▪ Created insight: essential features are not adequately historized and suitable for training; feasibility can be enhanced by implementing entries of key SAP tables as timed state sequences. Show less Joined cross-functional team to standardize and integrate into business framework new automated manufacturing system. ▪ Successfully managed and prioritized multiple project activities in deadline-driven environment. ▪ Fluently communicated with suppliers and consultants so as to ensure fulfillment of business demands. ▪ Kept track of all IT issues and supported their catch and resolution. Assessed predictive analytics feasibility for a challenging business demand (Work Order lead… Show more Joined cross-functional team to standardize and integrate into business framework new automated manufacturing system. ▪ Successfully managed and prioritized multiple project activities in deadline-driven environment. ▪ Fluently communicated with suppliers and consultants so as to ensure fulfillment of business demands. ▪ Kept track of all IT issues and supported their catch and resolution. Assessed predictive analytics feasibility for a challenging business demand (Work Order lead time prediction). ▪ Classified, analyzed and extracted features from relevant information in business data lake. ▪ Created insight: essential features are not adequately historized and suitable for training; feasibility can be enhanced by implementing entries of key SAP tables as timed state sequences. Show less
-
-
-
University of Illinois Chicago
-
United States
-
Higher Education
-
700 & Above Employee
-
Graduate Research Assistant
-
Feb 2016 - May 2016
Conducted research in the field of Evolutionary Computation applied to Bayesian network structure learning. • Implemented knowledge-driven genetic method characterized by improved algorithmic efficiency, sensitivity to parameter setting and performance with respect to the baseline; produced and successfully defended M.S. thesis. Conducted research in the field of Evolutionary Computation applied to Bayesian network structure learning. • Implemented knowledge-driven genetic method characterized by improved algorithmic efficiency, sensitivity to parameter setting and performance with respect to the baseline; produced and successfully defended M.S. thesis.
-
-
Education
-
University of Illinois at Chicago
Master of Science (M.S.), Electrical and Computer Engineering -
Politecnico di Torino
Master of Science (M.S.), Computer engineering -
Politecnico di Torino
Bachelor of Engineering (B.E.), Computer Engineering