George Perakis Email & Phone Number

Greece

Greece

Search (information retrieval) pod lead.

Athens, Greece

Course Description: https://tinyurl.com/y352zywcLabs contents: * Python 101, Numpy 101, Pandas 101, Scikit-Learn 101* Text pre-processing: Tokenization | Stemming | Lemmatization | Stopwords | Bag of words approaches | Embeddings: Gensim (word2vec), Glove, FastText, ELMO.* Image pre-processing & data augmentation techniques * Keras (FFNs, CNNs, RNNs, Attention Mechanisms)* Pytorch Transformers* Tasks: Classification | Regression | Encoders | Retrieval

Athens, Attiki, Greece

Athens, Greece

Member of the `Whiskey` product team:- Product Recommendations - Statistical approaches (eg association rules) - Business case (rules) approaches - Machine learning approaches - Deep learning approaches (retrieval methods and models) - Backend engineering in ruby on rails. Member of the Research and Prototyping Team (RnP)- Computer Vision-related projects: - visual search/similarity using retrieval deep learning models - visual clustering using encoders and hierarchical clustering - discover brand-line connections between products stack- Programming: Python, Ruby on Rails- AI: Vision encoders, NLP encoders (transformers), Doc2Vec, Word2Vec, siamese networks (triplet loss), Node2Vec etc- DB related: SQL, NoSQL, ElasticSearch, Redis, Swift- Visualizations - Monitoring: Tableau, Metabase, Grafana- Deployment: Kafka, Docker

Athens, Greece

Athens, Greece

Key responsibilities: Customer Analytics | Social Networks Analytics | Data Cleaning | Data Mining | Data Models | Data engineering | Machine Learning | Research | Reporting* Develop Socital's Data Analytics Engine component that is responsible for delivering the social users analytics. * Work on estimating or extracting: gender, age, base location, interests, locations of interests, brand affiliations, spending capacity from social user profiles (Facebook, Twitter, Google+, LinkedIn, Email), for segmentation and recommendation purposes.* Design experiments, create prototypes and perform statistical analysis.* Maintain, build and deploy predictive models using machine and deep learning algorithms. Monitor, test and evaluate the performance of the predictive models.* Collect, integrate and manage data from various data sources, working on multiple data warehouse structures automating ETL processes. Integrate with various REST APIs.* Analyze textual data from various social networks. Applying NLP processing to prepare robust datasets​ ​ for​ ​ analysis. * Apply social network analysis techniques to calculate centralities, find cliques, perform community detection etc.* Perform OLAP reporting and KPI visualizations for clients. Built automation framework for dynamic reports, reducing around 2/3 of processing time in general by setting up a web app using Dash.* Create and deliver presentations to company’s business team regarding the status and key decisions regarding the business’s issues.* Create both business and developer’s documentation for all parts of the data analytics pipeline.

Athens, Greece

Tutoring mathematics to high-school students

Athens

* Attended internal seminars regarding the Solvency II EU Directive, Insurance Technical Reserves and “Cashflow matching” technique for insurance companies. * Studied and prepared a summary of the QIS5 (fifth Quantitative Impact Study) report. * Organized communications between Bank of Greece and insurance companies required for the implementation of the Solvency II project.

Master Of Science - Msc, Data Science, 8.63 - First-Class Honor (1St)

2 - YEAR DEGREE, 81 ECTS

Bachelor Of Science - Bs (4 Years), Mathematics

4 - YEAR DEGREE, 250 ECTS