Recep Yılkıcı

Recep Yılkıcı

Istanbul · recepyilkici@gmail.com

I have a great interest in data science and machine learning. I have been working at Eczacibasi Bilisim as a Jr. Data Scientist since April 2021. I am developing projects on machine learning and time series techniques. On the other hand, I can build dashboards and web applications with Flask/Django/Dash packages with using HTML-CSS and JavaScript.

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Experience

Jr. Data Scientist

Eczacibasi Bilisim

I have been working on data visualization, machine learning and time series models. In addition I have been learning MLOps.

April 2021 - Current

Data & Business Analytics Intern

Eczacibasi Bilisim

I worked on data analytics and time series problems.

October 2020 - March 2021

Data & Business Analytics Intern

MSM Periyodik Danışmanlık

I worked on data analytics and data visualization with Python and, dashboard developing with Plotly/Dash package.

July 2020 - September 2020

Freelancer

Freelance Jobs

I worked on freelance jobs about statistical data analysis with SPSS. Such as master thesis or academic essays.

2019 - 2021

Assistant Student

Yildiz Technical University Statistics Research Center

I worked on statistics courses and survey data.

January 2019 - April 2020

Graphic Designer

Spor ve Yasam Dergisi

I worked on healthy infographics with Adobe Illustrator and Photoshop. At the same time, I used Adobe After Effects for video editing and content producing.

June 2017 - September 2017

Education

Yildiz Technical University

BSc | Statistics

GPA: 3.16

I took courses about statistics, math and software.

September 2015 - February 2021

Gaziantep IMKB Anatolian High School

Math & Science
September 2011 - June 2015

Projects

Kajoo

Kajoo is a practical interface for machine learning algorithms. The aim of this application, to be able to use some machine learning algorithms practically like clustering or regression. The interface has written with Python PyQt5 and PySide2 packages. The functions in the backend of the application has written with NumPy, Pandas and Scikit-learn packages.

You can download the kajoo from right here.

If you have any problem or suggestion, please write to me on this mail.

Pymun

Pymun is a practical random number generator. Any user can generate numbers with Normal, Binomial, Uniform, or Poisson distributions and user can download the numbers data in a .csv file.

Pymun has developed with Python. Back-end of the Pymun has developed with Flask web framework package, and front-end of the Pymun has developed with HTML5, CSS3, JavaScript and Bootstrap 4. Pymun can generate numbers with 5 different method just for now. It will be better soon!

If you want to generate numbers, you can do it from right here!

Data Science Notebooks

I am creating notebooks about Python package informations and data science examples for sometimes to open and repeat some informations.
I uploaded to Kaggle only 1 notebook just for now, I will upload more. You can see my notebooks below.

  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • Keras
  • Tensorflow
  • PyTorch
  • SQLAlchemy
  • BeautifulSoup

Hackathons

  • Trendyol Datathon | 4-20 October 2021
  • (2nd Place) Insider Sustainibility Hackathon | 13-14 March 2021
  • Doğuş Datathon | 9-13 September 2020
  • (1st Place) Eczacıbaşı EnGenius'20 Datathon | 14-28 August 2020
  • Insider AI Race Datathon | 27 June 2020
  • Vodafone Digital Pioneers Tobi Hack | 30-31 May 2020
  • İş Bankası Machine Learning Challenge Datathon | 11-18 May 2020
  • Akbank Code Challange | 14 May 2020

Skills

Programming Languages & Computer Programs
  • Object Oriented Programming
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Plotly & Dash
  • Scikit-learn
  • Flask
  • Django
  • PyQt5
  • PySide2
  • BeautifulSoup
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  • ggplot2
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  • T-SQL (Microsoft SQL Server)
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  • HTML5
  • CSS3
  • Bootstrap 4
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  • Microsoft Office Word
  • Microsoft Office Excel
  • Microsoft Office Excel VBA
  • Microsoft Office Power Point
  • Microsoft Office Access
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  • Adobe Photoshop
  • Adobe Illustrator
  • Adobe After Effects
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Certifications

Interests

I am interesting movies, books (especially Turkish letters), computer games, graphic design, video editting, computer tehcnique (hardware news), playing chess and machine learning subjects.