Hello. In this repository you will find all of my experience in Data Science.
In every folder, the readme.md file will give you a brief explanation of the context, the framework and the topics that were covered.
Skill-set
- Python: Mainly Data Science packages and frameworks. A breakdown of the projects and the used packages can be found below:
| Projects | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Packages | Instacart EDA 1 | Instacart EDA 2 | Instacart EDA 3 | Instacart EDA 4 | Instacart Predictive 1 | Instacart Predictive 2 | Automobile Strategy Report | Employee Attrition | Movie Recommendation Systems | Labelling Yelp's Restaurant Reviews | Spotify Streaming Data |
| Pandas | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Matplotlib | ✓ | ✓ | |||||||||
| Seaborn | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||
| Scikit-Learn | ✓ | ✓ | ✓ | ✓ | |||||||
| XGBoost | ✓ | ✓ | ✓ | ✓ | |||||||
| Apache Spark (PySpark) | ✓ | ✓ | |||||||||
| Snorkel | ✓ | ||||||||||
| Flask (API) | ✓ | ||||||||||
| MLFlow | ✓ | ||||||||||
| json | ✓ | ||||||||||
-
R: dplyr, ggplot2, caret, glmnet, effects
-
Other Tools: Unix, Docker, Tableau, Power BI, SQL
In /Research Projects directory, you will find all of my work during my occupation as a Research Assistant.
I invite you to have a look at the folders:
-
Education Material/Instacart Case Study with Python, where you can find how we can exploit open-source data from the Instacart grocery delivery service. -
OpenGovIntelligence/Machine Learning component, where you will learn more about my contribution to a feature selection tool on the H2020 OpenGovIntelligence project. -
OpenGovIntelligence/Scotland's House Prices, which covers a study for predicting the House Prices in Scotland with governmental data.
In Coursework directory you will find all of my relevant coursework during my studies.
In directory:
/Coursework/Electives/E-business/you will find a project for integrating a bookstore into the Prestashop e-commerce platform (using php, mysql, apache).
Where, in directory:
/Coursework/Electives/E-government/you will find a 35-page report for the creation of an attribute model to describe any greek public body. As the final report is in Greek, a brief synopsis in English is provided.