Giorgos Dadakidis

Results-driven Data Analyst with expertise in Machine Learning, Business Analytics, and Data Engineering. Proficient in Python, SQL, and BI tools with experience in data preprocessing, predictive modeling, and visualization. Strong analytical mindset with a focus on optimizing data-driven decision-making. Passionate about leveraging data to drive business insights and efficiency.

Analyze Data with SQL-Codeacademy (2024)

• Bankruptcy Prediction Model – Built a machine learning-based financial risk analysis model using classification algorithms to predict bankruptcy likelihood. Demonstrated analytical thinking and decision-making through feature selection and model evaluation.
• Fashion MNIST Clustering – Implemented unsupervised learning techniques to classify images from the Fashion MNIST dataset using clustering algorithms. Enhanced critical thinking by evaluating model performance and refining clustering accuracy.
• Movie Recommendation System – Built a recommendation engine using collaborative filtering and similarity metrics to enhance personalized content delivery.
• Datathon UoM 2024 – Event Organization & Coordination – Led event logistics, participant registration, and jury selection for a university-hosted data competition. Developed leadership, communication, and time management skills while ensuring smooth execution.
• Project Management Simulation for an Application Development – Led a team of four using MS Project and JIRA to plan, monitor, and execute a simulated app development project with Agile methodologies. Strengthened team leadership, organization, and stakeholder management through structured project execution.