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DimitriosTagkoulis/README.md

Hello, kind stranger!



I am Dimitris, a Data Scientist living in Thessaloniki, Greece.


From Accounting to Digital and then Data Science. My story so far:

I am an Accounting and Finance graduate whose passion for tech led to a bumpy career path… After I graduated, I landed a job as an auditor and decided to pursue an MSc in E-Business and Digital Marketing to dive a little deeper in the digital landscape.

While studying the more technical areas of Digital Marketing (like performance, market research and analytics) and the applications of Data Science methods in e-Business I realized that this was my calling. I was constantly studying analytics and all things data that I could get my hands on. With the completion of my MSc, the next steps were obvious: a) land a developer job and b) start a MSc in Data Science. That led me to Veltio’s Demand Forecasting team and to University of Macedonia, for the MSc in Business Analytics and Data Science.

After finishing my second MSc I was assigned with to create an analytics practice as a Senior Data Scientist for KPMG Greece, managing a team of data professionals and developing analytics, automation and forecasting solutions to support Digital Transformation across the firm and for clients from multiple industries.

Currently I am a Senior Data Engineer for Accenture Greece, where I maintain and enhance ETL pipelines for banking and finance industry clients and I lead a team of five other Data Engineers which is responsible for the whole reporting process of a Major Greek Bank's Data Warehouse.

Some of my work on Github:

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Tools and Tech:

Thank you for visiting, you can also find me on LinkedIn.

Stay Curious!

Pinned

  1. Statistical_Tests_For_Google_Analytics_with_Python Statistical_Tests_For_Google_Analytics_with_Python Public

    Further analysis of Google Merchandise Store Data after reviewing Google Analytics reports

    Jupyter Notebook 2 2

  2. AirBnB_Price_Prediction AirBnB_Price_Prediction Public

    Airbnb listing price prediction with multiple preprocessing, data augmentation and feature engineering techniques. Modeling and explainability analysis performed using with Pycaret and Shap.

    Jupyter Notebook

  3. XAI_Linked_Statistical_Data XAI_Linked_Statistical_Data Public

    Ussage of explanable AI techniques on data from [Scottish Goverment Statistics Portal](https://statistics.gov.scot). The topic explored is the population being prescribed drugs for anxiety, depress…

    Jupyter Notebook

  4. TelcoCustomerChurn TelcoCustomerChurn Public

    Through exploratory data analysis, predictive analytics and explainable AI, this project aims to provide valuable feedback regarding the reasons that customers churn, thus providing useful insight …

    Jupyter Notebook

  5. Clustering-Stock-Movements Clustering-Stock-Movements Public

    Clustering as a method to identify groups of stocks based on their movements, that otherwise would be undetectable.

    Jupyter Notebook 1