Data Analytics Intern
Webel Fuji Soft Vara COE
06.2024 - 07.2024
- Handled missing data by performing missing value analysis and imputing with column-wise mean to maintain data integrity
- Performed comprehensive feature selection using wrapper, filter, and embedded methods to evaluate and improve model performance on multiple datasets.
- Conducted exploratory data analysis (EDA) including covariance analysis visualized via heatmaps for better understanding of feature relationships.
- Built a streamlined ML pipeline from preprocessing to evaluation, showcasing end-to-end machine learning workflow.
- Implemented model evaluation metrics such as accuracy, precision, recall, F1-score, sensitivity, and specificity to assess classification models.
- Applied normalization techniques using MinMaxScaler and StandardScaler to ensure consistent feature scaling.
