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$20 USD / hour
Flag of TRFlag of TR
istanbul,
turkey
$20 USD / hour
It's currently 5:53 AM here
Joined August 1, 2015
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Caner Burç B.

@Caner34

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$20 USD / hour
Flag of TRFlag of TR
istanbul,
turkey
$20 USD / hour
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Data Scientist And Analytics Consultant

6 years of remote experience python, machine learning, deep learning, fraud detection, classification, regression, sentiment analysis, customer lifetime prediction, shopping data ad customer data analysis, data visualization, big data, pySpark
Freelancer
Java Developers
Turkey

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Portfolio Items

Project description
This work predicts the buyers and non-buyers on an online shopping platform at a 92.4% accuracy, 89.8% precision and 95.3% recall performance. 

https://github.com/caner34/Online-Marketing-Purchase-Prediction
Online Marketing Purchase Prediction
Project description
This projects aims to detect the fraudulent transactions and to avoid them before happening to prohibit loss in millions of $. The prediction model succeeds a 97.3 precision, 92.7 recall rate alongside 93.6% F1 score with beta 2.0 for validation set. 

https://github.com/caner34/European-Credit-Card-Fraud-Detection
European Credit Card Fraud Detection
This finished product is able to analyze and evaluate the emotions of the subject(s) whose video is processed. In this project, the facial expression on input visuals are categorized utilizing the convolutional neural network (CNN) model as 7 basic emotions (happy, surprised, angry, fearful, disgusted, sad and neutral).

The product can process live video streams as well as recorded videos utilizing Keras library and is deployed using Flask.

https://github.com/caner34/Emotion-Recognition-Out-Of-Facial-Expression-With-Deep-Learning
Emotion Recognition Out Of Facial Expression - Deep Learning

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Education

82

Bahçesehir Üniversitesi, Turkey 2016 - 2020
(4 years)

Qualifications

Applied Machine Learning in Python

Coursera
2020
Applied Machine Learning in Python

Facial Expression Recognition with Keras

Coursera
2020
Facial Expression Recognition with Keras

DataViz with Microsoft Power Bi Desktop

Coursera
2020
Data Visualization with Microsoft Power Bi Desktop

Publications

Relative effects of up-sampling and down-sampling on an imbalanced dataset

Economics, Society and Data Science / Medium.com
A case study of online marketing purchase prediction accuracy score: 92.5% precision score: 91.6% recall score: 94.2% accuracy score: 92.1% It is very desirable to distinguish real purchasers from the crowd of observers for online shopping platforms to succeed in their marketing efforts and accomplish their annual goals in their balance sheets. Success in these predictions can increase profits via enabling dynamic pricing with occasional discount to encourage possible purchases.

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Java
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