Here, you can explore some of the projects I have carried out in various stages of my career.

October 3, 2021

EDA, ML and Flask API creation with medical data

Recent advancements in data science render scientists capable of sorting, managing and analyzing large amounts of data more effectively and efficiently. One of the sectors where these new technologies have been applied is the healthcare industry, which is increasingly becoming more data-reliant due to vast quantities of patient and medical data. As a result, medical practices and patient care are significantly improved. In this notebook, we will implement various techniques regarding the Exploratory Data Analysis (EDA) of medical data from different datasets and then, train various machine learning models for the prediction of important medical factors.

August 12, 2020

Guaranteed TSP solutions in VLSI

In this project, I implemented approaches that perform near-optimal combination of MOS transistors onto Integrated circuits, a process called Very Large Scale Inegration (VLSI). The process of VLSI was examined by using approaches of the known combinatorial optimization problem called Traveling Salesperson Problem (TSP). TSP is described as follows: Given a set of cities and the distance between each pair of cities, what is the shortest possible tour that visits each city exactly once, and returns to the starting city?

July 11, 2020

Near-Optimal TSP solutions in VLSI

June 27, 2020

Optimal TSP solutions in VLSI

In this project, I implemented approaches that perform optimal combination of MOS transistors onto Integrated circuits, a process called Very Large Scale Inegration (VLSI). The process of VLSI was examined by using approaches of the known combinatorial optimization problem called Traveling Salesperson Problem (TSP). TSP is described as follows: Given a set of cities and the distance between each pair of cities, what is the shortest possible tour that visits each city exactly once, and returns to the starting city?

May 20, 2020

Statistical analysis with Meteorites data

*In this dataset we will analyse a dataset about meteorites in order to make predictions about a future strike on our planet. More specifically, this dataset has been provided by NASA and contains recorded meteorite impacts on Earth. After exploring this dataset, we will predict the chance that, within 1000 years, a high-impact meteorite will strike Earth. Meteorite of high-impact is considered that of diameter greater than 1km. Dataset The dataset of this project has been provided by NASA.

May 7, 2020

Exploratory Data Analysis and Machine Learning with medical data

Recent advancements in data science render scientists capable of sorting, managing and analyzing large amounts of data more effectively and efficiently. One of the sectors where these new technologies have been applied is the healthcare industry, which is increasingly becoming more data-reliant due to vast quantities of patient and medical data. As a result, medical practices and patient care are significantly improved. In this notebook, we will implement various techniques regarding the Exploratory Data Analysis (EDA) of medical data from different datasets and train various machine learning models for the prediction of important medical factors.