Worked with Stryker's AI research team as an integral part of the Capstone project focused on Deep Learning Models.

• Effectively pre-processed large datasets by handling missing values, outliers, and data normalization, and applied advanced machine learning techniques to capture non-linear patterns and long-term dependencies, ensuring balanced model evaluation.• Conducted a comprehensive study on time series forecasting models, including XGBoost, FbProphet, and LSTM, achieving 96% accuracy in vehicle sales predictions through in-depth trend analysis and state-of-the-art model implementation across multiple market segments.• Engineered and integrated hyperparameter optimization techniques, such as grid search, while leveraging domain expertise in feature selection and data segmentation, to fine-tune model performance and minimize MAPE and RMSE, thereby maximizing forecast precision across various segments.

Developed and deployed a robust Java and JavaFX-based software application with MySQL and JDBC integration for IT infrastructure management services, streamlining user responsibilities across diverse use cases, while utilizing Jira for seamless project tracking and issue management.

Pioneered the application of cybersecurity techniques using tools like Wireshark, Metasploit, Ophcrack, and Malwarebytes, gaining expertise in bypassing operating systems, creating viruses, and analyzing network traffic.