

Driven Data Science Intern with strong analytical and problem-solving skills ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.
Languages: Python, SQL
ML Techniques: Regression, NLP, Random Forest, Feature Engineering, Prompt Engineering
Frameworks: Scikit-learn, Numpy, Pandas, Matplotlib
Data Analysis: Data Cleaning, Data Transformation, Exploratory Data Analysis, Alteryx, Power BI
Devops: Git, GitHub, Docker, Azure, CI/CD