Software Engineer Intern: Bosch

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✅ Worked on data preprocessing, including handling missing values, outlier detection, data normalization, and encoding techniques to prepare raw datasets for machine learning pipelines.

✅ Conducted hyperparameter tuning using techniques like Grid Search and Random Search to optimize model performance.

✅ Evaluated model performance using metrics such as accuracy, precision, recall, F1-score, ROC-AUC, and confusion matrices.

✅ Implemented techniques like cross-validation and ensemble learning (e.g., Random Forest, XGBoost) to improve generalization and prevent overfitting.

✅ Ensured model scalability and efficiency through batch processing, model compression, and using optimized data pipelines.

✅ Applied explainable AI (XAI) tools such as SHAP and LIME to interpret model predictions and improve transparency.

✅ Collaborated with cross-functional teams to translate business problems into AI solutions and integrate ML models into existing systems.

✅ Applied explainable AI (XAI) tools such as SHAP and LIME to interpret model predictions and improve transparency.

✅ Collaborated with cross-functional teams to translate business problems into AI solutions and integrate ML models into existing systems.

Software Engineer Intern Bosch Global Software Technologies ·Internship Oct 2022 - May 2023 · 8 months Oct 2022 to May 2023 · 8 mos Bangalore Adugodi.