OilX was acquired by Energy Aspects in 2023.● Refactoring established code and functions to improve efficiency, reduce processing time, and optimize resource utilization.● Conducting in-depth analyses to develop new data-driven features and tables. Enhance existing functionalities, aligning with project and company objectives.● Driving data accuracy and operational efficiency by optimizing and cleaning datasets for streamlined analysis and reporting.● Expanding expertise in the energy and oil market to strengthen data analysis insights and align project outcomes with industry trends and requirements.

● Overseeing and managing the whole technology and IT sector of the company from the database/data to the website and any marketplace integrations.● Online and Market Research in both EU & UK.● Exploring new technologies and always improving our methods, automations and technologies.● Technology and Online Strategy for expansion and reaching.● Coordinating Operations and the other sectors of the company.● Scientific Communication to the whole company.

Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations.As an AI Resident at Apziva: Working on designing, and implementing machine learning models on various projects coming from organizations from all around the world ranging from various fields of AI such as natural language processing, computer vision, deep learning, and others.● Working on machine learning and artificial intelligence projects from the industry and Apziva’s partners under the guidance of a professional mentor.● Implemented a model which predicts the satisfaction of the customer using customer reviews.● Created a model about the prediction of a client's subscription in a term deposit service.● Used NLP to determine the best candidate for a job based on specific keywords.● Using the FastAi library created a convolutional neural network to predict if an image shows a page that has been flipped or not.● Using LSTM to predict stock prices

• Lead a team of 3 people to: ➼ Support a central server based on MS Windows Server 2016R2 operation system with a number of 200 PCs. Dealt with issues of user management, control of shared resources, maintenance of the central server and maintenance and configuration of network equipment. ➼ Manage and technical support of special applications on the ELDYK PC network, in a Microsoft Windows XP, 7, 10 and 11 environment, as well as Linux Mint, Ubuntu. ➼ Manage and process confidential and sensitive information, as well as special documents.

● Started with an Internship and then a Research Assistantship on this project.● Trained and Lead a team to generate insights about neurotic connections in mice’s brain using R and python libraries to data preprocess, analyze and visualize the data.● Been part of an european project on neuroscience together with Harvard University and IBM.● Made discoveries about the connection of neurons inside the mice’s brain and between the layers of the brain to each other.● Computational Neuroscience, Brain Networks: Analysis of neuronal groups formed based on the pairwise temporal correlation of their firing events in the primary visual cortex. (PI/Supervisor: Professor Maria Papadopouli)● Also, done data management, munging and engineering for the database of the project.