Özgür Polat

Python | Data Analysis

Driven and curious data analyst with experience working with Python (with well-known libraries NumPy, Pandas, SciPy, Seaborn, and Matplotlib), SQL, R, Tableau, PowerBI and several more programming languages.
Adept at collecting, analyzing, visualizing and interpreting large datasets, developing new forecasting models.
Possessing an extensive analytical skill, strong attention to detail, and a significant ability to work in team environments.
I am a fast and life-long learner with a passion for creative innovation and solving complex problems.
I am eager to further improve my skills and experience with a detail-driven team through challenging tasks.

Work Experience

  • FKS Jan 2023 - Present
    Python Developer| Data Analysis

    ● Develop solutions for clients from many different industries, sectors, and company size
    ● Data analysis and visualization
    ● Module development and implementing the client's needs in the Odoo
    ● Support and maintain specific solutions
    ● Database management
    ● Debugging with Pycharm
  • Independent Researcher Sep 2018 - Aug 2021
    Data Analyst | Python | Research

    ● Data analysis with Python, Excel, R and SPSS, and interpreting the results
    ● Data visualization with Tableau and PowerBI
    ● Economic research on the recent developments and writing the output as OpEd articles on BrusselsTimes
    ● Developing programming skills in Python (and its libraries such as Pandas, NumPy, Matplotlib, Seaborn, BeautifulSoup), SQL and Java
  • Selahaddin Eyyubi University Mar 2014 - Jul 2016
    Researcher

    ● Data analysis, tabulating and interpreting the results
    ● Obtained, analyzed and visualized educational, social, economic and demographic data using MS Excel, Stata, R and Tableau
    ● Analyzed and processed complex raw data sets of 2000 users (academics, students) using advanced SQL querying, MS Excel and Tableau visualization
    ● Taught undergraduate and graduate courses in Economics
  • Dicle University Mar 2010 - Mar 2014
    Researcher

    ● Data analysis, tabulating and interpreting the results
    ● Obtained, analyzed and visualized educational, social, economic and demographic data using Excel, SPSS and Stata
    ● Taught undergraduate and graduate courses in Economics
  • Turkish Statistical Institute Nov 2004 - Mar 2010
    Data Analyst| Researcher

    ● Research and analyze of the economic data, implementing forecasting models using Artificial Neural Networks and publishing the results of the analysis
    ● Extracting, processing, and analyzing complex and different datasets using visualization, and analytics tools.
    ● Deriving predictive models using appropriate statistical techniques.
    ● Data preparation prior to analysis: data query and data manipulation in relational databases using Excel.
    ● Collection, cleaning, and implementation of quality control of the data obtained from households and companies through surveys
    ● Organization and checking of regional survey data
    ● Planning of data collection and organization of survey study

PROJECTS

Algorithmic Trading

Data of S&P 500 were obtained by creating an API token and value of a portfolio was analyzed to determine each S&P 500 constituent that should be purchased to get an equal-weight version of the index fund, an investing strategy was built that selects the 50 stocks with the highest price momentum and the best value metrics, and recommended trades for an equal-weight portfolio of these 50 stocks were calculated by using Python and its libraries such as Pandas, SciPy and Numpy.

Biodiversity in National Parks

This was a portfolio project phase of Codecademy Data Science Bootcamp. Descriptive statistics and data visualization techniques, as well as Exploratory Data Analysis (EDA), were employed to understand the data better through Pandas, Numpy, Matplotlib and Seaborn. Statistical inference was also be used to test if the observed values were statistically significant by using Scypi.


TABLEAU DASHBOARDS

Tableau is an interactive data visualization software. It is a great and versatile tool for visualizing data. My tableau dashboard projects can be found on my Tableau Public profile. Tableau Public is a free platform to explore, create, and publicly share data visualizations online.

POWERBI DASHBOARDS

In this dashboard project the sales in detail such as regional and time aspects were analyzed and visualized. The first page of the dashboard contains the most important KPI’s. The second page examines the sales in different regions. You can navigate through the dashboard using the menu on the left of each page.

CERTIFICATIONS

Description Obtained Date
Data Scientist: Machine Learning Specialist Career Path Dec 2020
Python for Data Science and Machine Learning Bootcamp Jul 2020
The Complete SQL Bootcamp Jun 2020
Data Analysis with Pandas Oct 2020
R for Data Science Aug 2020
Master in Microsoft Power BI Desktop Apr 2021
The Complete Tableau Bootcamp for Data Visualization Mar 2021
Google Cloud Essentials Jan 2021
Jira Fundamentals Sep 2022