An enthusiastic Data Scientist and Data Engineer based in the Netherlands. With a strong foundation in Electrical and Electronics Engineering, my journey has taken me from the bustling realms of telecommunication and energy transmission into the dynamic world of data science. Currently, I’m thriving at Accenture, where I’ve had the privilege of working on innovative projects with giants like Pepsico and ABN AMRO.
Learn about what I do“Torture the data, and it will confess to anything.” –By Ronald Coase-
Trained an ML model that predicts fraudulent credit card transactions with the dataset of a Kaggle competition. You can find the entire project on my Kaggle account and read the related article by clicking here.
Trained a model predicting the churn probability of customers of a telecomunication company. You can find the entire project on my Kaggle account and read the related article by clicking here.
#data #ML #DL #Python #dashboard #SQL #Neural Networks #AWS #NLP #LSTM #Cloud #database
Cohort Analysis to analyzed people belonging to different cohorts, RFM Analysis to dig deeper into the purchasing pattern and retention of people ,Association Mining and most importantly clustering of customers using the " K-Means Clustering" algorithm.
It is an interactive web-based dashboard to visualize the global COVID-19 stats all over the world. It created with Tableau. It visualizes the number of cases confirmed, recovered and death tolls for each country. It is hosted on sites.google and can be accessed here.
The car price prediction model was made from the data obtained from AutoScout24, a popular second hand car sales site, with some web scraping methods. All data science process were applied and the model was deployed. It is hosted on heroku and can be accessed here.
Prediction of the number of future bike shares given the historical data of London bike shares. This case was handled as a time series problem with Bidirectional LSTM.
Implemented classification techniques in ML with this employee churn analysis project. Its web interface was created with streamlit and hosted on AWS EC2 and can be accessed here.
This project will focus on using NLP techniques to find broad trends in the written thoughts of the customers. The goal in this project is to predict whether customers recommend the product they purchased using the information in their review text.
Izmir, Turkey, 2007
Data Science Bootcamp, 2020
Data Science Bootcamp, 2021
New connections open the door to new opportunities.