Loukia Dimou Email & Phone Number

London, Gb

London, England, United Kingdom

Deal with North London traffic fines aiming to reduce cost.Use SAP, ClickSoftware, Masternaut and FleetCheck to investigate parking and driving contraventions.Make online payments and upload receipts and cost alignments in SAP Concur.Manage the TFL auto pay list for Congestion Charge and Ultra Low Emission Zone.Maintain and update PayByPhone and RingGo accounts.Provide initial training and ongoing guidance and support to members of the team.Work collaboratively towards establishing and continuously improving the process for traffic fines.Develop and update reports to monitor and analyse the performance of the traffic fines process.Document in detail working methods and procedures for new members of the team.Validate unplanned gas interruption forms ensuring high-quality data capture.Generate a range of ad-hoc reports and tools to support the network.▪ Reduced total cost for North London traffic fines by over 70 %.▪ Created documentation for appealing traffic fines with a high success rate.▪ Developed a Flow using Microsoft Power Automate for requests regarding the TFL auto pay list.▪ Built an Artificial Intelligence model using Microsoft Power Apps to extract information from traffic fines.

Greece

Set up, manage and monitor digital advertising campaigns for global brands and markets Create reports and analyse campaign metrics to track campaign performance. Deliver high-quality reporting projects presenting key findings and providing detailed feedback to stakeholders. Make recommendations and highlight potential opportunities to key clients to optimise campaign performance. Troubleshoot day to day clients’ support requests ensuring high quality. • Achieved business objectives by influencing clients’ strategic decisions. • Maximised customer satisfaction by timely and effectively responding to all queries.

Patras, Western Greece, Greece

Extract image frames from video using Python and annotate image frames using the Python tool labelImg Develop deep learning techniques in Python's packages TensorFlow and PyTorch for detecting people and classifying objects from digital image or video data.Create class activation maps for image classification• Improved classification accuracy of object images via live video by performing experiments with different pre-trained convolutional neural networks. • Contributed efficiently in a company project about vehicle detection and classification. people and classifying objects from digital image or video data

Integrated Master - Meng, Computer Engineering And Informatics, 7.16/10

Thesis: 'Classification of histopathological images with transfer learning techniques' - Grade: 10/10 • Assistant in Database Systems.

Erasmus+ Programme, Informatics

Courses completed successfully: • Computer Vision for Human-Computer Interaction • Design and Architectures of Embedded Systems • Image.

Upper Secondary School Leaving Certificate, General Studies, 19/20

• Memeber of the school choir • Holding the absence book