Radostin S. Pavlov, Ph.D.

Data analytics portfolio

Expertise in all ETL stages and tools such as:

Databases: MySQL, MySQL Workbench, MongoDB, MongoDBCompass, MS Access

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ETL & BI: Power BI, Tableau, MS Excel

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Programming skills: SQL, MQL, Python, Git, C, VBA

+ Python libraries: Pandas, NumPy, Matplotlib,
Seaborn, Plotly, Scikit-learn, and Tensorflow/Keras, etc.

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Cloud computing: AWS (RDS, EC2)

Example projects:

MySQL DB design, models, creation, table manipulation, subqueries

MongoDB database creation, data manipulation

ETL and visualization with Python, Tableau, Power BI & DAX/M, Power BI & Python

Python libraries:

ANN and DNL with Keras/Tensorflow, Pandas, Numpy, Seaborn, Matplotlib and SKlearn

Scraping and data analytics on data analysis job offers with SQLite, Selenium, SKLearn, BeautifulSoup, Pandas and Numpy

Racing-bar plot of the top 30 countries by population (with Flourish)