I am well-versed in Python, statistics, machine learning, and database management. Additionally, I am fluent in both English and Chinese. I hold a Bachelor's degree in Electronic Engineering and a Master's degree in Social Science. Currently, I am pursuing a Ph.D. in Social Science with an emphasis on Computational Social Science, which requires conducting research using various NLP techniques.

I have extensive experience with statistical tools such as STATA, R language, and Python. Additionally, I have completed multiple projects using SQL and other data management technologies. Specifically, I have:

Developed advanced chatbot solutions utilizing OpenAI and Pinecone, including natural language understanding and contextual memory integration.
Created numerous interactive dashboards using Tableau, Streamlit, and Power BI.
Conducted comprehensive market analysis projects, including sentiment analysis and predictive modeling, using Python (including Pandas and Plotly) and SQL databases.
Developed and deployed data-driven applications, such as a sentiment analysis tool using YouTube Data API and PostgreSQL, demonstrating my ability to handle large datasets and derive actionable insights.
Applied machine learning techniques (e.g., Scikit-learn classifiers) for feature extraction and predictive modeling.

For a deeper understanding of my capabilities, please review my projects on GitHub (github.com/tipharez-allmighty) and Kaggle (kaggle.com/artemkolos). My LinkedIn profile (linkedin.com/in/artem-kolos) also provides additional insights into my professional background.