I'm passionate about Machine Learning, Deep learning, Natural Language processing (NLP) and Generative AI.

The speed at which processing power is developing and the ability to process vast amounts of data are driving advances in Artificial Intelligence to unprecedented heights.

I hold a Masters Degree in information technologies at Cyprus international university.

I have 2+ years of experience building and deploying machine learning and deep learning models.

Furthermore, I have a strong practical and theoretical experience in the development of Machine Learning Models (LLMs) and Deep Learning models.

🔭 Below are some of the companies I have worked as a data scientist and a machine learning engineer:

• Algora Limited
• Utiva

🔭 Some of the notable courses I have completed and that helped in gaining strong theoretical foundation include:

• IBM Machine Learning Professional Certificate by Coursera
• IBM Data Science Professional Certificate by Coursera
• Data science Certification by Utiva school
• Machine Learning A-Z: Hands-On Exercises & ChatGPT Prize [2023] by Kirill Eremenko
• Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2023] by Kirill Eremenko
• Python for Machine Learning & Data Science Masterclass by Jose Portilla
• Complete Tensorflow 2 and Keras Deep Learning Bootcamp by Jose Portilla
• The Data Science Course: Complete Data Science Bootcamp 2023 by 365careers

🔭 I've used different Machine Learning and Deep Learning models in real-time projects. Below are some used models:

• Linear Regression
• Logistic Regression
• Support Vector Machines (SVM)
• Decision Trees (DT)
• Random Forests (RF)
• K-Nearest Neighbors (KNN)
• Deep Neural Networks
• Convolutional Neural Networks (CNN)
• Recurrent Neural Networks (RNN)
• Naive Bayes (NB)
• Gradient Boosted Decision Trees (GBDT)
• XGBoost
• Long Short-Term Memory (LSTM)

These valuable tools and techniques have empowered me to successfully develop and comprehend intricate machine learning projects.