Intern
CISDI
CHONGQING, CHONGQING
11.2023 - 03.2024
- Constructed supervised and unsupervised learning models using Python libraries like Scikit-Learn, TensorFlow, and Keras.
- Generated reports on model performance evaluation results.
- Utilized a variety of techniques including linear regression, logistic regression, decision tree, random forest, gradient boosting, and neural networks.
- Optimized existing codebase for better scalability and efficiency.
- Conducted data pre-processing operations such as feature engineering, normalization, and imputation.
- Participated in meetings, code reviews, demos, design sessions and project retrospectives.
