Data Analyst
Personal Research
07.2024 - 09.2024
Exploratory Data Analysis and Feature Engineering with Jupyter Notebooks
Conducted exploratory data analysis (EDA) to uncover trends, relationships, and anomalies within the dataset, identifying key insights for model development.
Applied feature engineering techniques to transform and create new variables, improving data quality and enhancing predictive power.
Performed feature selection to optimize model performance by identifying the most relevant features and reducing complexity.
Evaluated the feasibility of solving the problem using machine learning, based on the insights gained from data analysis.
