Data Scientist

• Sep 2023 - Present

Data Science Instructor

• Dec 2021 - Present

Adjunct Faculty Instructor

• Oct 2021 - Present

Academic Years 2021-22 & 2022-23: Mathematics for Machine Learning (DAMA50 Unit), Collaborating Teaching Staff of School of Science and Technology. Material includes Linear Algebra, Probability and Statistics, Matrix Calculus, Learning with Neural Networks and Optimization. Link: https://www.eap.gr/en/data-science-and-machine-learning/ Academic Years 2021-22 & 2022-23: Mathematics for Machine Learning (DAMA50 Unit), Collaborating Teaching Staff of School of Science and Technology. Material includes Linear Algebra, Probability and Statistics, Matrix Calculus, Learning with Neural Networks and Optimization. Link: https://www.eap.gr/en/data-science-and-machine-learning/

Senior Data Scientist

• Jul 2022 - Aug 2023

- Grow and lead the first Data Science team of the company (2 mid-senior members - JIRA, Git, Jupyter Notebooks). - Utilize cutting-edge technologies to deliver robust solutions and monitor data pipelines (indicatively, Azure ML, Dataiku, MLflow, Neptune.ai, Poetry, sci-kit learn pipelines). - Involved on various projects with multiple roles (Individual DS contributor, Supporting / Brainstorming / Code Review with the rest Data Scientist team, Project Manager for technical deliverable, Mentoring and Supervising Data and BI Engineers). - Coordinating and evaluating marketing campaigns with Operations and CX teams. -Tackling requirements from Business staff (Clients, C-level and Account Managers), converting them into actions. - Directly Consulting company's clients for increasing the value from the delivered solutions. - Preparing and presenting proposals for new clients (learning mechanisms, efficiency, insights' consuming). - Established the hiring process for the Data Science team, as well as reviewing Data Analysts candidates. - Involved projects: 1. Scrap Analytics (Regression, Explainability, Boosting models, Categorical encoding) 2. Churn models (EDA, Binary and Multi-class tasks, Explainability, Ensemble models, Hyper-parameter Tuning) 3. Demand forecast (use of models like Prophet, LGBM and tree-based ensemble models for providing quantile predictions) 4. Customer Analytics (e.g., Audience Segmentation, Lifetime value, Users' Ranking, Next Best Action) 5. Recommendation System using sequential data 6. Running Python upskilling courses Show less

Data Scientist

• Jul 2021 - Jun 2022

- Review state-of-the-art literature related to Knowledge Graphs - Implement end-to-end pipelines tackling link prediction and graph completion - Set up proof of concepts in graph explainability by conducting empirical investigation - Brainstorming with the rest Data Science members about NLP tasks and ML validation procedures - Review state-of-the-art literature related to Knowledge Graphs - Implement end-to-end pipelines tackling link prediction and graph completion - Set up proof of concepts in graph explainability by conducting empirical investigation - Brainstorming with the rest Data Science members about NLP tasks and ML validation procedures

Adjunct Lecturer

• Oct 2020 - Sep 2021

Teaching the next undergraduate courses:i) Multi-agent Systemsii) Intelligent Autonomous Systems

Postdoctoral researcher at School of Informatics (Intelligent Systems Lab)

• Apr 2020 - Jun 2021

Dealing with emerging labels on multi-label problems.Study of Zero-shot and Weakly-supervised methods.More info: 1. https://www.linkedin.com/showcase/amulet-project/about/2. https://intelligence.csd.auth.gr/

Analytics Expert

• Sep 2019 - Jun 2021

- Apply ML techniques for monitoring performance of ships (e.g. FOC prediction) - Extraction of useful stats/alerts - Use of Python libraries (sklearn, pandas, numpy) - Attempt to perform Explainability strategies - Collaborate with devs team for release of product - Apply ML techniques for monitoring performance of ships (e.g. FOC prediction) - Extraction of useful stats/alerts - Use of Python libraries (sklearn, pandas, numpy) - Attempt to perform Explainability strategies - Collaborate with devs team for release of product

Scientific Researcher

• Aug 2018 - Oct 2019

Participation in 1st Call for H.F.R.I. Research Projects for the support of Post-doctoral researchers and PhD students.Tasks:i) Contributing to successful submission of scientific proposalii) Make research related with AI/ML algorithms over multi-modal dataiii) Creation of appropriate code repositories, related with the proposed algorithms/frameworksiv) Submitting research manuscripts on international conferences and journalsv) Use of Semi-supervised and Active Learning methods, combined with incremental learners, boosting trees, Bayesian approaches and ensemble methods Show less

Teacher Assistant

• Oct 2012 - Sep 2018

Teaching Undergraduate Laboratory courses of :i) Introduction to programming with Pythonii) Numerical Linear Algebraiii) Electroacoustics I & IIiv) Communication Systemsv) Discrete Mathematicsvi) Partial Differential Equations

Researcher at ERASITECHNIS project

• Dec 2012 - Mar 2013

Working on audio processing and enhancement algorithms for archival recordings of traditional Greek music and Byzantine chants

Data Scientist

• Apr 2019 - Aug 2019

• Processing, cleaning and verifying the integrity of data used for analysis• Doing ad-hoc analysis and presenting results in a clear manner• Applying supervised learning models (ensemble learners and/or deep learning networks)• NLP/Time-series analysis• Use of Pandas, Numpy, Keras and sklearn libraries • Use of PySpark and Google Cloud Services

Data Analytics & Yield Optimization Executive

• Sep 2018 - Mar 2019

• Contribute a genuine passion and enthusiasm for data products and how they impact revenue at Project Agora’s Publishers.• Design dashboards, reports and alerts which provide key revenue trends and metrics to ensure data driven business decisions across the company• Increase yield for Project Agora’s Publishers through data analysis, monitoring of revenue and insightful actions to increase sell through rate and price per unit. • Manage multiple optimization projects at a time in a fast-paced, intense, data-driven and results-oriented environment• Automate various processes that contain: mining of requested reports, preprocess of datasets, creation of alerts, extracting explanatory views and apply criterion-based searches• Use of Python (Pandas, Numpy, sklearn), TARGIT, Microsoft Excel Show less

Instructor of Python and C#

• Oct 2018 - Jul 2019

Adjunct Assistant Professor

• Feb 2016 - Feb 2019

Teaching the following laboratory courses: i) Computational Intelligence - (WEKA, Matlab, Python) as Teacher Assistant Ii) Procedural programming (C) iiI) Systems' Modelling (UML, Use cases and other kind of flowcharts) iv) Introduction to Computer Science v) Electronic Commerce Teaching the following laboratory courses: i) Computational Intelligence - (WEKA, Matlab, Python) as Teacher Assistant Ii) Procedural programming (C) iiI) Systems' Modelling (UML, Use cases and other kind of flowcharts) iv) Introduction to Computer Science v) Electronic Commerce

Instructor

• Oct 2012 - Jun 2015

Educator for the class of "Acoustics"​, "Electronic Music Technology"​ and "Multimedia Graphic Designer" Educator for the class of "Acoustics"​, "Electronic Music Technology"​ and "Multimedia Graphic Designer"

Private Tutor

• Jul 2014 - May 2015

Educator for the programming course of national high school Educator for the programming course of national high school

Instructor

• Oct 2014 - Apr 2015

Teaching Introduction to Computers Teaching Introduction to Computers