Evanthia Fasoula

Working on various AI & Data Science projects for the city of Stuttgart to advance the digitalisation of the city offices • Developed a customized GPT system for city employees and provided technical consulting • Consulting for the development of the city's AI strategy • Developed a model for the automated classification of scanned documents • Designed and implemented dashboards with end-to-end data integration and database development to support data-driven decision-making

Development of various advanced machine learning models that optimize the customer experience and facilitate decision making inside the company Projects amongst others: • Return Forecast: model that predicts the expected daily returns of the company based on article level • Cohort Sales Forecast: model that predicts the expected sales of certain customer cohort for the next months • Prophet Forecasts: two models that predict the sales and customer count of different customer segments respectively for the next months/year • various data analyses in order to gain insights regarding customer behavior of different customer segments as for example luxury customers, loyalty programme customers or customers with high sale affinity

Project: Leveraging LLMs in Enhancing Multilateral Negotiations Project Stakeholder: Data Innovation Lab powered by the German Federal Foreign Office and GovTech Campus Germany I managed this project by leading, guiding and supporting 14 collaborators from all over the world to build an AI tool that facilitates the decision-making in foreign policy negotiations through efficient document analysis and insights, in particular by using the use case of the Global Digital Compact initiated by the UN

1) Omdena DroneAg Project - Using Machine Learning and Drone Datasets to Build a New Segmentation Model for Crop Measurement Duration: May 2022 - August 2022 In this Omdena project, more than 20 collaborators around the world collaborated for two and half moths in order to build segmentation models based on supervised and unsupervised approaches to detect crops and compute the crop coverage area. In this project I led the knowledge task and contributed as well to the image pre-processing task. 2)Omdena Project - ThinkOutside "Forecasting Water Availability and Electricity Price For Optimal Usage of Renewables in Scandinavia" Duration : February 2022 - April 2022 In this Omdena challenge, more than 30 collaborators from all over the world collaborated for 8 weeks to build an AI solution for ThinkOutside. The team built prediction systems to predict water availability through streamwater inflow as well electricity prices to optimise renewable energy production. In this project I led a sub-team that developed machine learning models for the prediction of electricity prices for different zones within Norway. Link to article: https://omdena.com/blog/electricity-price-forecasting-in-norway/

Directorate: European Policy - Division: State Aid Control Policy • Analysis and evaluation of state aid cases in terms of economic and legal aspects • Consulting and negotiations with various stakeholders • Creation of decision-making papers

Main project: Scientific Paper with the title "Price Regulations and Price Adjustment Dynamics: Evidence from the Austrian Retail Fuel Market"

IAT University of Stuttgart/Fraunhofer Institute for Industrial Engineering IAO Main Proejcts: - Scientific research on autonomous and connected cars (Zukunftsstudie Autoland Saarland) - Moderation and evaluation of six webinars for the EU project ’Triangulum’ on Smart Cities

Tutor of the Bachelor course "International Economics"

Department: General Ledger Accounting Main tasks: Bank accounting of business transactions & reorganization of the SAP authorization concept

12-week intensive full time bootcamp in Data Science Topics: • Data analysis and visualization in Python • Machine Learning (supervised & unsupervised learning) • Deep Learning with TensorFlow • Data organization in databases (PostgreSQL, MongoDB) • Data infrastructure (Docker, AWS, dashboards) • Git & Bash

Courses: - Analytics in Python - Data, Models and Decisions in Business Analytics - Marketing Analytics - Demand and Supply Analytics

Main subjects: Financial Econometrics, Growth Economics, Public Economics, Labor Economics, Markets and Consumption and Negotiation Management Master thesis: Measuring spillovers between gold prices and stock markets during times of financial uncertainty

Main subjects: International Business and Economics, Innovation Economics, Business English, General Business Administration and Principles of Economics Bachelor thesis: Does the catching-up-hypothesis hold for the economy of Greece?