Python
Panagiota Chatzi
Eurutanias 15 , Athens
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex projects. Expert in machine learning, natural language processing and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. Effectively researches techniques for novel approaches to tasks, develops prototypes to assess viability of approach and deploys application into production yielding insights to expand customer-consciousness. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models.
Overview
13
13
years of professional experience
10
10
years of post-secondary education
6
6
Certifications
2
2
Languages
Work History
Senior Data Engineer
PCCW Global
2023.07 - Current
- Participated in strategic planning sessions with stakeholders to assess business needs related to data engineering initiatives.
- Collaborated with cross-functional teams to define requirements and develop end-to-end solutions for complex data engineering projects.
- Reengineered existing ETL workflows to improve performance by identifying bottlenecks and optimizing code accordingly.
- Leveraged advanced analytics tools to create interactive dashboards that provided actionable insights into key business metrics.
- Championed the adoption of agile methodologies within the team, resulting in faster delivery times and increased collaboration among team members.
Data Science Research Associate
JP Morgan Chase & Co
2022.02 - 2023.04
- Achieved creating and leading production of recommender system by introducing pattern anomalies according user input history , using Machine Learning techniques for financial purposes which helped to identify loss and profit and received permission from board to continue .
- Developed data mining algorithms to identify and classify patterns in data.
- Worked in project using Federated Learning and providing promising service and applications.
- Acted as team leader in group projects, delegating tasks and providing feedback.
- Used strong analytical and problem-solving skills to develop effective machine learning solutions for challenging situations.
- Created 3D computational models of numerous amount of financial data to retrieve information.
Data Analyst
Advanced Histopathology Lab
2018.01 - 2021.11
- Analysed transactions to build logical business intelligence model for real-time reporting needs which increased annual profit of company by 25%.
- Utilized data visualization tools to effectively communicate business insights.
- Tested data prediction algorithms based on financial data.
- Implemented business intelligence solutions to increase operational efficiency.
- Collaborated with stakeholders to identify business needs and data sources.
Data Science Research Intern
University of South Wales
2014.11 - 2015.04
- Ran statistical analyses within software to process large datasets.
- Applied loss functions and variance explanation techniques to compare performance metrics.
- Devised and deployed predictive models using machine learning algorithms to create application for people with disabilities.
- Modelled predictions with feature selection algorithms.
- Used Pattern Recognition and OPENCV techniques.
Internship Student
Foundation for Research and Technology (FORTH)
2011.04 - 2011.09
- Reported back to instructor to receive day-to-day tasks and responsibilities.
- Completed research, compiled data, updated spreadsheets, and produced timely reports.
- Collaborated with senior management on new initiatives to build confidence.
- Explored new technologies and approaches to streamline processes.
Education
Ph.D. - Computer Science
University College London
London, United Kingdom 2017.04 - 2021.04
Master of Science - Computer Science
University of South Wales
Cardiff, Wales 2013.11 - 2014.06
Bachelor of Science - Computer Science
Hellenic Mediterranean University of Crete
Heraklion, Greece 2007.10 - 2013.06
Skills
Research expert
Problem-Solving
Technical Writing
Decision-Making
Analytical and Critical Thinking
- API Development
- Data Modeling
- Machine Learning
- Interpersonal Skills
- Team building
Software
Tensorflow
Keras
Numpy
Scikit-Learn
Pandas
Recommender Systems
Federated Learning
CNN
Certification
Hatch 2018 ,London, Ministry of Justice
Timeline
Senior Data Engineer
PCCW Global
2023.07 - Current
Data Science Research Associate
JP Morgan Chase & Co
2022.02 - 2023.04
Hatch 2018 ,London, Ministry of Justice
2018-11
MakeHarvard 2018, Harvard University, Boston
2018-02
Data Analyst
Advanced Histopathology Lab
2018.01 - 2021.11
Ph.D. - Computer Science
University College London
2017.04 - 2021.04
Skype University Hackathon
2016-03
Data Science Research Intern
University of South Wales
2014.11 - 2015.04
Master of Science - Computer Science
University of South Wales
2013.11 - 2014.06
Intensive program: ComputerVision and Intelligent Computer Systems (COMVICS) Brno University of Technology
2013-06
Intensive Program : Deploying IT Infrastructure SolutionsT13-01095
2013-04
M IPNeT-Modern Data Transfer Standards for Industrial Automation, Coordinated by AGH University of Science & Technology, Poland
2012-07
Internship Student
Foundation for Research and Technology (FORTH)
2011.04 - 2011.09
Bachelor of Science - Computer Science
Hellenic Mediterranean University of Crete
2007.10 - 2013.06
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