Efi GIANNAKOU

Data Scientist and Software Engineer offering six years of experience in consulting and the full software development lifecycle, from concept through delivery of customisable solutions. Eager to learn, highly motivated and thriving on working with people.

As a Senior Consultant on the Data & Analytics Team at EY Belgium, my role encompassed a wide range of responsibilities aimed at leveraging data for meaningful insights. I connected, combined, and cleaned diverse data sources to ensure the accuracy and reliability of our analyses. I also developed scripts that efficiently computed complex KPIs and automated repetitive tasks, streamlining our operations. One of my key areas of expertise involved utilizing machine learning techniques for customer churn prediction in the dynamic telecommunications industry. 

Prior to this, I gained valuable experience as an Engineering Consultant at Seti Engineering Consulting. 

During my tenure as a Software Engineer at ORANO (as an external), I successfully managed multiple software projects in parallel and was commended by executives for consistently delivering projects on time and within budget. Collaborating with other disciplines was essential to meet clients' visions and requirements effectively. 

Additionally, I served as a 3D Applications Engineer at EDF (as an external), where I actively engaged with team members and managers to ensure smooth and efficient project transitions. My focus was on developing tools to achieve automation and enhance production monitoring.

Furthermore, as an R&D Engineer, I showcased my expertise in designing and developing a C# tool for merging databases, which I presented at the AVEVA World Conference France in 2018. 

I hold a distinguished M.Sc. degree in Data Science & Artificial Intelligence from Aristotle University of Thessaloniki, GR, where I achieved a grade of 9.08 out of 10. During my academic journey, I engaged in a variety of impactful projects, harnessing the power of R, Python, and Matlab to explore cutting-edge topics in the field. My expertise spanned a diverse range of areas, including Deep Learning, Neural Networks, Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP). Additionally, I delved into the realms of Data Mining and Robotic Systems, developing a comprehensive skill set that allows me to tackle complex challenges at the forefront of modern technology.

Prior to my master's degree, I pursued a Diploma of Electrical and Computer Engineering at Democritus University of Thrace, GR, where I achieved a  grade of 7.5 out of 10. My studies covered an array of vital subjects, such as Computer Science. I also honed my mathematical acumen through courses in Discrete Mathematics, Probability & Statistics, Calculus, and Linear/Non-Linear Systems. In the domain of Electrical Engineering, I immersed myself in essential topics, including Electrical Circuits, Electronics, Linear Control Systems, and Robotics.