“I have had the pleasure of partnering closely with Maria during her first two years at Databricks, supporting both existing and net new customers to accelerate value from their data across the EMEA Enterprise and Strategic business divisions. Maria joined Databricks as a Solutions Architect in her first pre-sales technical role coming from a data science practitioner background. Moving from a data practitioner to pre-sales is no mean feat. Maria's coachability and drive to learn, accompanied by her passion and expertise in the field of data science and machine learning, brought huge amounts of value to our business and customers. During Maria's time at Databricks, she has supported and morphed into the technical trusted advisor for some of our most strategic customers in the region. Customer's loved working and partnering with Maria, therefore I'm super excited to continue seeing her grow and offer her expertise more broadly across our business as a Specialist Solution Architect in Machine Learning and MLOps!”
About
• Enthusiast data scientist :)
• My Moto Coding = No limits
Activity
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Full house in Oslo! 🇳🇴 Incredible energy at Databricks Data Intelligence Day – every seat taken as we explored data warehousing, AI 🤖, and…
Full house in Oslo! 🇳🇴 Incredible energy at Databricks Data Intelligence Day – every seat taken as we explored data warehousing, AI 🤖, and…
Liked by Maria Zervou
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How to orchestrate Agents on Databricks using LangChain, LangGraph OpenAI and more with Lara Rachidi Maria Zervou and Sarbani Maiti Repos:…
How to orchestrate Agents on Databricks using LangChain, LangGraph OpenAI and more with Lara Rachidi Maria Zervou and Sarbani Maiti Repos:…
Liked by Maria Zervou
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Experience Databricks from the driver's seat, only at Data Intelligence Day London 🏎️ Try out our Racing Simulator demo, built using the Databricks…
Experience Databricks from the driver's seat, only at Data Intelligence Day London 🏎️ Try out our Racing Simulator demo, built using the Databricks…
Liked by Maria Zervou
Experience
Education
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UCL
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Relevant Coursework: Data Analysis for Product Classification (Data preparation, Data
Visualization, KNN, Decision Tree, Forest Tree algorithm-Matlab), Business Report (SAS Project),
Decision Making Cases using Excel Solver, @Risk, Decision Tree
Natural Language Processing (NLP): Twitter Sentiment Analysis, Language Models, Text
Classification with Feature Engineering and Structured Prediction
Regression Methods for Data Classification: Linear Regression, Ridge Regression, Kernel…Relevant Coursework: Data Analysis for Product Classification (Data preparation, Data
Visualization, KNN, Decision Tree, Forest Tree algorithm-Matlab), Business Report (SAS Project),
Decision Making Cases using Excel Solver, @Risk, Decision Tree
Natural Language Processing (NLP): Twitter Sentiment Analysis, Language Models, Text
Classification with Feature Engineering and Structured Prediction
Regression Methods for Data Classification: Linear Regression, Ridge Regression, Kernel Ridge
Regression. -
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Relevant Coursework: Analyze and Propose Improvements on an Organization’s Information
System (Emporiki Bank), Project Management(Case of House construction), E-Shop creation -
Marketing Campaign, Business Model-, Mobile Application creation- Application Functionality,
Marketing Campaign, Business Model-, Analyze the Supply Chain of an organization, Marketing
Survey: Customers’ criteria for choosing an e-shop to complete a purchase, Apply Techniques of
Decision Making and Problem…Relevant Coursework: Analyze and Propose Improvements on an Organization’s Information
System (Emporiki Bank), Project Management(Case of House construction), E-Shop creation -
Marketing Campaign, Business Model-, Mobile Application creation- Application Functionality,
Marketing Campaign, Business Model-, Analyze the Supply Chain of an organization, Marketing
Survey: Customers’ criteria for choosing an e-shop to complete a purchase, Apply Techniques of
Decision Making and Problem Solving on a Personal Problem, Sentiment Analysis on Customers’
Comments, Customer Classification (High, Low Value), Decision Making Cases using Excel Solver,
School e-Portal creation (Jsp, Java Servlets, MySql), Database Creation Project (Microsoft SQL
Server).
Licenses & Certifications
Volunteer Experience
Honors & Awards
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Excellence Scholarship
Emporiki Bank
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Excellence Scholarship
Emporiki Bank
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Excellence Scholarship
Emporiki Bank
Academic-based scholarship awarded to students that maintained in each academic year a GPA over 7.50/10.00.
Languages
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Greek
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English
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French
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Recommendations received
1 person has recommended Maria
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The Databricks FS team in Brazil is world class. Congrats to all your success and looking forward to a even better 2025. Excited to be here.
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Join our exclusive AI Agents Deep Dive session at Data Intelligence Day London ⬇️ We'll be running an introduction to AI Agents on Databricks, where…
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In today’s fast-paced AI landscape, having a well-defined AI strategy is no longer optional—it’s essential. But how can organizations effectively…
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🎉🎉🎉6th and final part of mini career planning series🎉🎉🎉 Essential skills for Solution Architects https://lnkd.in/e9qFk95M Check out previous…
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In this interview, Databricks co-founder Arsalan Tavakoli discusses the challenges and rewards of being a leader in the rapidly changing tech…
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