Data Scientist - Cyber Security
Current• Managing and building anomaly and novelty detection models based on the MITRE ATT&CK model for cyber security use cases.• Developing AI models in Python using Pycaret, Scikit Learn, and Tensor flow libraries and deploying them using flask for Cyber security use cases.• Visualizing the data insights using matplotlib, plotly, seaborn, etc.• Involved in research of AI-based tools and methodologies to enhance and automate the company’s processes.• Implemented machine learning models such as decision trees, regression models, and Isolation Forest.• Implemented deep learning models using LSTM • Optimizing pre-built tools using AI and leveraging the data gathered over time