I am a data scientist with over 5 years of experience leveraging Python, machine learning, and big data tools to build production-grade solutions for financial market analysis and detection of anomalies. I enjoy turning complex data problems into scalable pipelines and actionable insights, delivering interactive visualizations that inform business decisions. In my current role at FINRA, I designed an AWS-based PySpark pipeline to monitor market manipulation and trained production-ready models, including a TensorFlow network with Bayesian hyperparameter tuning. I thrive on collaborating with market analysts and cross-functional teams to curate datasets and translate findings into practical actions. Previously, as a Postdoctoral/Graduate Researcher, I worked on physics data analysis and detector design, developing strong skills in C++, parallel processing, and collaborative research across the U.S. and France.…I am a data scientist with over 5 years of experience leveraging Python, machine learning, and big data tools to build production-grade solutions for financial market analysis and detection of anomalies. I enjoy turning complex data problems into scalable pipelines and actionable insights, delivering interactive visualizations that inform business decisions. In my current role at FINRA, I designed an AWS-based PySpark pipeline to monitor market manipulation and trained production-ready models, including a TensorFlow network with Bayesian hyperparameter tuning. I thrive on collaborating with market analysts and cross-functional teams to curate datasets and translate findings into practical actions. Previously, as a Postdoctoral/Graduate Researcher, I worked on physics data analysis and detector design, developing strong skills in C++, parallel processing, and collaborative research across the U.S. and France.WWWW…