Emre Beğen

Emre Beğen

Emre Beğen

 

Data Scientist with experience as a Software Developer. Building predictive models, providing in-depth analysis and developing smart applications. Deep Learning researcher. Math lover.

Experienced: Python, Machine Learning, Deep Learning, Pytorch, Sci-Kit Learn, C#, Javascript, SQL Skillful: Tensorflow, Keras, Apache Spark, Swift
Beginner: Hadoop, Elastic Search, Tableau

PROJECTS

Dog Breed Classifier

Udacity Deep Learning Nanodegree Project
The data set contains images of dogs from 102 different breed. Classified by the Convolutional Neural Network with 90% accuracy. Developed with Pytorch.

102 Flower Classifier

Udacity Pytorch Scholarship Challenge Deep Learning project.
The data set contains images of flowers from 102 different species. Classified by the Convolutional Neural Network with 99% accuracy. Developed with Pytorch.

FollowX

It is a Sentiment Analysis and Categorical Analysis project.
Classified by using SVM with 90% accuracy.
Python, Scikit-Learn, Numpy, Zemberek, ASP.Net Mvc, Mssql, Telerik Kendo UI, Jquery, Javascript, Bootstrap are used in this project.

Predicting Advertisement

In this project we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement.
Classified by using Logistic Regression with 90% accuracy
Python, Scikit Learn, Numpy, Pandas, Matplotlib are used in this project.

You can access from this link.

Iris Flower

In this project we will use the support vector machine method in examining the famous iris data set.
Cassified by the using SVM with 98% accuracy
Python, Scikit Learn, Numpy, Pandas, Matplotlib are used in this project.

You can access from this link.

Classify Yelp Reviews

In this NLP project I will be attempting to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews.
Classified by using Naive Bayes with 97% accuracy.
You can access from this link.

Python, NLTK, Scikit Learn, Numpy, Pandas, Matplotlib, Seaborn are used in this project.

EMPLOYMENT HISTORY

May 2014 – Present

May 2012 – May 2014 May 2011 – May 2012

EDUCATION

Sep 2011 – Jun 2013 Oct 2005 – Jun 2010 Nov 2018 – May 2019

COURSES

May 2018
Nov 2018 – May 2019 Sep 2018

Aug 2018

Mar 2018 – Jul 2018 Mar 2018

Jan 2018 Jul 2017

Data Scientist, Bilgi Birikim Sistemleri Istanbul

Selecting features, building and optimizing classifiers using Machine Learning and Deep Learning techniques.
Processing, cleansing, and verifying the integrity of data used for analysis
Provide technical leadership to teammates through coaching and mentorship.

Software Development Specialist, Albaraka Turk Bank

Developed application on accounting, human resources and corporate loans.

Web Developer, Utopic Farm

Developed corporate web sites, wordpress templates, social networks applications.

Bahçeşehir University, Master Of Computer Engineering Abant Izzet Baysal University, Bachelor of Mathematics Udacity, Deep Learning Nanodegree

Data Scientist with Python, DataCamp Deep Learning Nanodegree, Udacity

Data Science: Natural Language Processing (NLP) in Python, Udemy

Artificial Intelligence and Deep Learning A-ZTM: Tensorflow, Udemy

Deep Learning Specialization, Coursera

Python for Data Science and Machine Learning Bootcamp, Udemy

Machine Learning, Coursera
MongoDB for Developers, MongoDB University

Istanbul

Istanbul

Istanbul Bolu