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2+ years of experience
I am a passionate data science enthusiast with a strong interest in leveraging data to drive meaningful insights and solutions. Currently, I am proficient in Python, SQL, and various data science libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. I have hands-on experience with Jupyter Notebook for interactive coding, Git for version control, and basic knowledge of Docker for containerization. My skills also extend to relational databases like MySQL and PostgreSQL, as well as NoSQL databases like MongoDB. I excel in data cleaning, preprocessing, and applying statistical analysis to interpret data. Additionally, I have a foundational understanding of machine learning algorithms and deep learning techniques. I am continuously expanding my knowledge and am eager to collaborate on real-world projects to further develop my expertise and contribute to impactful solutions.