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(Aktualisiert 2021-12-27)Data Scientist
İstanbul, Türkiye
Einheimische English
- + 5 years of experience in Deep Learning
- + 5 years of experience in Python
- + 5 years of experience in Pandas
Fähigkeiten (11)
KERAS
Flask
Python
Data Analysis
DATA SCIENCE
Pytorch
GCP
TENSORFLOW
Docker
NEURAL NETWORK
Spark
Zusammenfassung
Mainly Programming on Python (5 Years) used the libraries such as scikit-learn, pandas, keras, Flask, NLTK, spaCy. Currently, improving on tensorflow.
Other Languages: C# (2 Year). Java (3 Years), MATLAB (1 Year)
Berufserfahrung
2021-02 - Jetzt
• Collaborated on the implementation of SurveyMonkey API to the platform.
• Fine-tuned natural language models such as GPT2 for text generation.
• Currently working on the backend team to implement new NLP solutions on the platform.
2019-08 - 2021-02
• With the Data Science team, I analyzed the behaviours of hotels/regions for several OTAs and created regression models with my teammates.
o I created jupyter notebooks for the mentioned OTAs, analyzed and visualized the data using the libraries such as pandas, matplotlib, seaborn, plotly.
• Created the virtual environment(s) on the virtual private servers and helped with the maintenance.
• Currently, working on a game-based project.
o Analyzing user behaviour and creating models for churn prediction, customer lifetime value and so on.
2018-10 - 2019-06
• Used Neo4J as the database to hold the information and build the relationship between entities.
• Used tf-idf vectorisation and SVM Classifier to predict the expertise of people from a given CV. This study is done with Scikit-learn library.
• Finished the project which has been funded by TUBITAK "Profiling and Talent Extraction System with Semantic Matching".
• Heroku is used as the Cloud Platform and Flask is used to build the APIs for the platform.
• Created a Convolutional Neural Network (CNN) model to determine a given CV's format with 90% accuracy using Keras.
Akademischer Hintergrund
2017-09 - 2018-09
2013-09 - 2017-07
Zertifikate
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