Holding more than 4 years of consultancy experience
My focus on understanding the stories behind the numbers, combined with a strategic approach, helps organizations and individuals to reach their potential.
This portfolio includes individual and group projects from Graduate program. More recent works can be found on : Github
Yelp Sentiment Analysis project containing 100.000 reviews presents a binary classification problem, whether the sentiment of the review is positive or negative.
German Credit Dataset containing 1000 observations with 20 features and a target column, presents a classification problem.
DeepDream is an experiment that visualizes the patterns learned by a neural network. In this project I try to implement Alexander Mordvintsev's blog post in to minimalistic planet image.
Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.
We analyzed the sentiments of current Turkey, USA, Brazil, Japan Top 50 playlists in Spotify and compared them. Following that we analyzed the sentiment distribution change in daily Turkey Top 200 playlists between 2017 and 2019.
The ODD dataset includes car sales numbers from the beginning of 2016 through September 2019. We analyzed car sales data between this time interval
The BES dataset includes key indicators of Individual Pension System (BES) from the January 2017 through July 2019.
The BKM dataset includes 2010- 2018 December, sectoral distribution of purchases on BKM debit and credit cards data.