Work Experience

Working as a Data Science Intern and gaining hands-on experience in Data Science and Machine Learning through real-world project work.

• Learning and applying Python for data science workflows
• Working with Pandas for data manipulation and analysis
• Working with NumPy for numerical computations
• Applying data analysis techniques to real datasets
• Performing data cleaning and preprocessing
• Conducting Exploratory Data Analysis (EDA) to uncover patterns
• Creating data visualizations using Matplotlib and Seaborn
• Developing understanding of Machine Learning concepts
• Working with real-world data problems and business challenges