Position: Junior / Data scientist
Category: Data Science
English level: fluent
Years of experience: 1.5

* Skill tracks SQL Fundamentals, Python Engineering, and additional 15 courses successfully finished on Data Camp.
-> Twitter Sentiment Classifier. I did a project for my NLP class about COVID-19 Tweets Sentiment Analysis in Python to detect what kind of emotion it represents. For this project, I've used NumPy, pandas, and seaborn for EDA; NLTK, Vader, Text Blob libraries for NLP; ML algorithms from the scikit-learn library for building my own classifier.

-> Recurrence Quantification Analysis Classifier on human activities in Python. Same technologies for EDA as in the previous project; PyRQA for RQA and RPs; and scikit-learn library for comparison of different ML algorithms.

-> I have work experience in IT companies but previously I was working as Sales / Account Manager, therefore I'm aware of the workflow of most projects.
Gain practical knowledge in turning big queries of data into insightful maps. Assist in performing distributed computing and predictive modeling. Collect, process, and perform statistical data analyses. Develop models through story-telling and visualization