A Machine Learning project for Machine Learning Internship offered by InternshipStudio.

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0

Streamlit App for Node and Graph Classification and Explainability

Modelling and prediction of default + deployment via AWS Sagemaker

DWSIM COOLSIM (IA) is an innovative application designed to simulate refrigeration and air conditioning systems and serves as an example for developing more complex systems for both refrigeration and chemical process simulation.

Predicting Body Fat Percentage Using Machine Learning

A deployable End-to-End machine learning model to predict loan default risk of new loan request for a financial services platform

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

DWSIM COOLSIM (IA) is an innovative application designed to simulate refrigeration and air conditioning systems and serves as an example for developing more complex systems for both refrigeration and chemical process simulation.

Thesis project for the MSc "Language Technology" of the National and Kapodistrian University of Athens (NKUA)

Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.

study of hyperparameter tuning methods

Predicting Saturation Vapour Pressure ~IML24