Matteo Calabrese Email & Phone Number
Who is Matteo Calabrese? Overview
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Matteo Calabrese is listed as Practice Manager | Data and GenAI Tech Sales Leader at Amazon Web Services (AWS), a company with 142019 employees, based in Milan, Lombardy, Italy. AeroLeads shows a matched LinkedIn profile for Matteo Calabrese.
Matteo Calabrese previously worked as Practice Manager Data & AI - Business Practice | South Europe at Amazon Web Services (Aws) and Business & Delivery Architect Lead | Data & AI for EMEA at Amazon Web Services (Aws). Matteo Calabrese holds Master Of Science - Ms, Computer Engineering - Artificial Intelligence from Università Della Calabria.
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About Matteo Calabrese
I'm an enthusiastic and results-driven professional, deeply passionate about bridging the gap between cutting-edge AI/ML and GenAI technologies and the unique needs of enterprise customers. With a successful track record of over 12 years in the AI/ML industry, I have specialized in the dynamic realm of AI/ML opportunities. My primary goal is to empower EMEA customers to harness the true potential of AI/ML by tailoring innovative solutions to their specific challenges and opportunities. Collaborating closely with cross-functional teams (bus & tech), I have consistently demonstrated the ability to transform complex technical concepts into compelling value propositions for our valued customers. I'm acting as a trusted advisor to design, deliver, scale and optimizing innovative use-cases to shorten workloads time to value and accelerate business outcomes.Throughout my career, I have had the privilege of working with diverse industry leaders, from Fortune 500 companies who provided me with different points of view that allowed me to grow professionally by analyzing their pain points and objectives. This has made me a privileged as I have had the honor of crafting resilient Data & AI strategies.In the fast-paced landscape of AI/ML, I continually embrace a growth mindset, staying at the forefront of industry trends and advancements. My commitment to continuous learning enables me to incorporate the latest advancements into my strategies, ensuring that our customers remain ahead in their respective markets.I’m nurturing my natural aptitude for building lasting relationships actively listening customer needs and providing tailored insights to encourages mutual growth.Tech skills:Machine Learning, Artificial Intelligence, Generative AI, Deep LearningBusiness skills:Business Translation, Business Plan, Business Development, Asset Proposition
Listed skills include Java, Python, R, Java Enterprise Edition, and 34 others.
Matteo Calabrese's current company
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Matteo Calabrese work experience
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Practice Manager Data & Ai - Business Practice | South Europe
CurrentLeading sales and pre-sales team dedicated to positioning AWS Generative AI and Data solutions to enterprise customers, particularly within the energy sector. My team is responsible for developing and implementing effective go-to-market and sales strategies, establishing and maintaining strong relationships with key enterprise clients while ensuring that.
Business & Delivery Architect Lead | Data & Ai For Emea
Driving customers and partners into innovation journey to successfully design, delivery and scale AI/ML and Generative AI solutions; leveraging data analytics and IoT to harness innovation power across industry verticals.Pre-Sales EMEA responsibility for Data&AI and Generative AI opportunities. Leading end-to-end customer play from pre-sales to oversight.
Data & Machine Learning Engineer For Emea
Data & Machine Learning Engineer
Data & Machine Learning Engineer responsible for AI/ML projects from pilot phase to the deployment at scale (near real-time, batch, asynchronous inference) in the Accenture ICEG AI Centre of Excellence for multiple industries such as: Oil&Gas, Power & Resources, Products, Telco, Insurance. Shaping Data & AIML strategy and roadmap in large enterprise for.
Data Scientist
Prediction on the single European electricity market. Focus on the "market coupling" mechanism to allocate transfer capacity in continental European nations. The work focuses on the prediction of "net positions" and "maximum power exchanges" in the Central Western Europe (CWE) region where the Flow Based mechanism is active. The main objective is to.
Ai Delivery Manager
- Delivery Manager for a start-up company.Main Responsibilities:
- Development of intelligent solution for recommendation engine and customer segmentation using AI/ML Algorithm
- Development of enterprise Web Applications
- Data Management for CRM and web app
- Strategic ICT advisory for SMB segment.
- Technologies and Methods: Python, Java, JavaEE, Hibernate, Spring, SQL, NoSQL. ETL: Pentaho, Knime. Cloud Computing: AWS, Azure
Matteo Calabrese education
Master Of Science - Ms, Computer Engineering - Artificial Intelligence
Bachelor'S Degree, Computer Engineering
Frequently asked questions about Matteo Calabrese
Quick answers generated from the profile data available on this page.
What company does Matteo Calabrese work for?
Matteo Calabrese works for Amazon Web Services (AWS).
What is Matteo Calabrese's role at Amazon Web Services (AWS)?
Matteo Calabrese is listed as Practice Manager | Data and GenAI Tech Sales Leader at Amazon Web Services (AWS).
Where is Matteo Calabrese based?
Matteo Calabrese is based in Milan, Lombardy, Italy while working with Amazon Web Services (AWS).
What companies has Matteo Calabrese worked for?
Matteo Calabrese has worked for Amazon Web Services (Aws), Accenture, Infopower Research, and Dreamart Adv.
How can I contact Matteo Calabrese?
You can use AeroLeads to view verified contact signals for Matteo Calabrese at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.
What schools did Matteo Calabrese attend?
Matteo Calabrese holds Master Of Science - Ms, Computer Engineering - Artificial Intelligence from Università Della Calabria.
What skills is Matteo Calabrese known for?
Matteo Calabrese is listed with skills including Java, Python, R, Java Enterprise Edition, Advanced Analytics, Mysql, Php, and Linux.
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