As a second-year Data Science student, I have built a solid foundation in data analysis, machine learning, and statistics. I have experience working with datasets through academic projects, including data cleaning, feature engineering, and model evaluation. I am highly motivated to learn, experiment, and apply data-driven approaches to practical problems.
Analytical Thinking
Applying statistical reasoning and data-driven thinking to analyze datasets and derive insights
Data Analysis
Exploratory data analysis, data cleaning, and visualization using Python libraries
Machine Learning Fundamentals
Building and evaluating basic machine learning models for prediction and classification tasks
LEARNING TO TURN DATA INTO MEANINGFUL INSIGHTS.