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ovgutunc/README.md

Hi, I'm Övgü 👋

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I'm a dynamic and self-motivated Data Analyst who loves to learn about new things in Data Analytics.

  • 🎓 I’m currently learning Customer Analytics which is so much fun.
  • 👀 I enjoy building machine learning algorithms and creating compelling visuals to drive business decisions.
  • ⚡️ I love reading articles about upcoming and trending technologies, and statistical methods in data analytics.
  • 💪 "There are risks and costs to action. But they are far less than the long-range risks of comfortable inaction."

🎯 Technical Skills:

Data Analytics: Data Manipulation, Data Wrangling, Data Modelling(Star and Snowflake Schema), Data Transformation, Data Acquisition, Data Aggregation, Data Warehousing (Fact and Dimension Tables), Data Visualization

Statistical Methods: Descriptive Statistics, Hypothesis Testing, A/B Testing, Regression, Correlation, ANOVA, Chi-Square Test

❤ Technologies I love:

MySQL PowerBI Looker Python Pandas Tableau Numpy Scipy Plotly

Redshift Sckit Excel Office Jupyter Matplotlib

📫 Where to find me:

Linkedin Github Microsoft Outlook

Popular repositories Loading

  1. Exploratory-Data-Analysis-using-SQL Exploratory-Data-Analysis-using-SQL Public

    Exploratory data analysis of 120 years of Olympic history using SQL queries to gain insights

    Jupyter Notebook 1

  2. Comparing-Marketing-Campaigns-Using-AB-Testing-for-E-commerce Comparing-Marketing-Campaigns-Using-AB-Testing-for-E-commerce Public

    Perfoming hypothesis testing based on A/B testing resuts

    Jupyter Notebook

  3. Customer-Segmentation-with-K-Means-Clustering-based-on-RFM-Model Customer-Segmentation-with-K-Means-Clustering-based-on-RFM-Model Public

    Customer Segmentation for an online retail store based on RFM model by using unsupervised K-Means Clustering algorithm

    Jupyter Notebook

  4. ovgutunc ovgutunc Public