Hi, my name is

Fatih Emre Ozturk.

I'm a Data Scientist

About Me

Hello there! I’m Fatih Emre Öztürk, a data wizard in the enchanting world of data science (or let’s say, a bit of an R guru and a bit of a data bender). My title says Data Scientist, but I’m a rookie in terms of previous experience. However, my educational journey has been quite magical.

After waltzing with philosophy at Bilkent University, I decided to embark on a thrilling adventure of pursuing a master’s degree in Data Science at Dokuz Eylül University. I got lost in the enchanting realms of Python and R, and befriended magical tools like SQL, JavaScript, Matlab, and Excel. I also have a surprisingly good rapport with Bash (I’m quite spellbound by the power of commands). I possess magical skills like machine learning, data analysis, and crafting ML pipelines.

During this enchanting journey, I’ve achieved some milestones. I completed my studies at Dokuz Eylül University with High Honor (no magic hat required!). Oh, and I have a passion for writing too—I’ve penned down two novels (guess I can weave data into characters’ lives as well).

Among my passions, you’ll find me indulging in science fiction and fantasy books, movies, and series (I might be a bit of a geek). Additionally, I have a special interest in ethical issues related to AI—tackling the moral quandaries of artificial intelligence is right up my alley (I prefer embracing AI with a friendly approach instead of pushing its limits). If you ever get lost in the data realm, I can transform into a magical source of R!

As for my professional goals, I aspire to develop algorithms that empower individuals and organizations to make better decisions, contributing to the advancement of AI and machine learning. I also aim to make our enchanting world more accessible by creating open-source resources alongside R and Python packages.

Among my magical language skills, I possess English (at a professional working proficiency) and I can also converse in beginner-level French (Bonjour, ça va?). And of course, my native tongue is the enchanting Turkish!

If you’re up for a magical adventure in the world of data, feel free to reach out in a magically enchanting way! Remember, let the data be with you!"


EDUCATION

Master of Science in Data Science | Dokuz Eylul University, İzmir/Turkey
Department of Statistics | Advisor: Neslihan Demirel
Feb 2022 — Aug 2023
Bachelor in Philosophy | Bilkent University, Ankara/Turkey
Department of Philosophy | Advisor: Bill Wringe
Sep 2012 — Jan 2019

EXPERIENCE

Data Scientist at FinancialPredictionAI
April 2024 — Still
Remote
Subtitle Editor/Translator at Private Contractor
Sep 2021 — Feb 2022
Remote

SKILLS

Programming:
  • Python
  • R
  • Sql
  • Bash
  • Git
  • Google Sheets
  • JavaScript
Documentation:
  • Microsoft PowerPoint
  • Microsoft Word
  • Markdown
  • Obsidian
  • Google Docs
  • Google Slides
Data Management:
  • MongoDB
  • DBBrowser
Statistical Analysis:
  • A/B Tests
  • RFM
  • KPIs
  • Hypothesis Testing
  • Anomaly Detection
  • Ethics and Privacy Awareness
  • Pandas(Python)
  • Numpy(Python)
  • Tidyverse(R)
  • d3(JavaScript)
  • Financial Analysis
Machine Learning:
  • Regression
  • Classification
  • Clustering
  • Artificial Neural Networks
  • Tensorflow(Python)
  • Sklearn(Python)
  • PyTorch(Python)
Data Visualization/Storytelling:
  • Matplotlib(Python)
  • Seaborn(Python)
  • Plotnine(Python)
  • Plotly(Python)
  • GGplot(R)
  • Shiny(R)
Soft Skills:
  • Identifying & Solving Problems
  • Researching
  • Mentoring/Supervising
  • Report Writing
  • Project Management
  • Attention to Details
  • Workflow Development

LANGUAGES

  • Turkish: Native
  • English: IELTS 7.0
  • French: Beginner

Conference Workshops

  • Lessons for Designing Scalable and Maintainable Shiny Apps | useR! Jun 2022
  • Introduction to Git and Github | useR! Jun 2022
  • Regression Modelling Strategies | useR Jun 2022

ACADEMIC SERVICE

  • Artificial Intelligence Symposium | Mar 2015 | Organizing Committee Member of the Bilkent University Philosophy Society
  • DSM 5008 Unsupervised Statistical Learning Course | May 24, 2023 | Guest Lecturer | Dokuz Eylul University

CONFERENCES

  • Oral talk titled “Comparison of the methods to determine the optimal number of clusters” | Dec 2, 2022 | Dokuz Eylul University International Graduate Research Symposium

  • Participation | Jun 20-23, 2022 | Virtual | useR! 2022


AWARDS

  • Full Scholarship 2012-2019 Bilkent University
  • Honor, 2014 Bilkent University
  • Honor, 2014 Bilkent University
  • High Honor, 2022 Dokuz Eylul University
  • High Honor, 2023 Dokuz Eylul University

PUBLICATIONS

Öztürk, F. E. and Demirel, N. (2023). Comparison of the methods to determine optimal number of clusters. Veri Bilimi Derg 6 (1) , 34-45


Technical Training:

University courses
  • Calculus I & Calculus II | Sep 2013 & Jan 2014
  • Introduction to Computing and Programming | Jan 2014
  • Introduction to Probability and Statistics | Jun 2014
  • Python for Data Science | Jan 2022
  • Exploratory Data Analysis and Data Visualization | Jan 2022
  • Unsupervised Statistical Learning | Jan 2022
  • Supervised Statistical Learning | Sep 2022
  • R for Statistical Computing and Programming | Sep 2022
  • Probability and Statistics for Data Science | Sep 2022
Online courses
  • Python for Data Science and Artificial Intelligence | Udemy| Nov 2021
  • Python for Data Science and Machine Learning Bootcamp | Udemy | Dec 2021
  • Data Management with SQL for Social Scientists | Data Carpentry | Nov 2021
  • Introduction to Geospatial Concepts | Data Carpentry | Jan 2022
  • Introduction to R for Geospatial Data | Data Carpentry | Jan 2022
  • Programming with Python | Software Carpentry | Nov 2021
  • Programming with R | Software Carpentry | Nov 2021
  • Version Control with Git | Software Carpentry | Dec 2021

INTERESTS

  • Chess
  • Reading and Watching Sci-fi
  • Fitness
  • Writing
  • Collecting Playing Cards
  • Game Development

Projects

Comparison of the methods to determine optimal number of clusters
Comparison of the methods to determine optimal number of clusters
In this project, I compared the methods to determine optimal number of clusters(Average Silhouette, Calinski-Harabasz, Davies-Bouldin, and Dunn Index) on nine different data sets. I tested which method works better in which cases and for which types of data sets they fail. This study was published in 'Veri Bilimi', a national peer-reviewed journal.
One Piece Bounties
One Piece Bounties
With this app, you can dive deep into the bounties of all 199 characters straight from the hallowed pages of the One Piece manga. But wait, there's more! You can also sort them by bounties and categorize by the crews they sail with.
Unsupervised Learning with feo
Unsupervised Learning with feo
In this project, I covered topics that every data wizard should know about Unsupervised Learning, one of the most fundamental building blocks of machine learning.
Examining Prefrontal Oxygenation Parameter in Migraine Classification
Examining Prefrontal Oxygenation Parameter in Migraine Classification
My tasks included data cleaning, feature extraction, feature reduction, and building machine learning pipelines. We carried out this study in coordination with the Department of Statistics and the Department of Biophysics at Dokuz Eylul University.

Get in Touch

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!