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- All views shared are my own opinion and do not reflect the stance of my employer 🎰 Vegas born 🧪 Ex-chemist, current data scientist, lifelong gamer. 👩🔬 Advocate for women in STEM, tech, and gaming. 🚨 Security strategist at Activision. Have you ever wondered “what comes after breaking into data science?” I share tips on how to excel in your career - advocate for yourself to get promoted, navigate situations with leadership, and mindfully leverage your strengths to optimize your career. Carly is a data scientist, computational chemist and machine learning engineer. She obtained her M.S. in chemistry from the University of Colorado focusing on computational quantum dynamics. She has authored multiple peer-reviewed publications and holds two non-provisional machine learning patents. When she isn't writing about herself in the third person, building mechanical keyboards or neglecting the oxford comma, she works as a public speaker, author and content creator focusing on AI. More specifically, she applies Python-based machine learning and best practices in statistical analysis to creatively solve novel problems. This includes harnessing various toolkits to model real-world structured and unstructured data and drive business value to stakeholders at all levels of the organization. Areas of Expertise: data science, machine learning, fraud detection, trust & safety, distributed systems, leadership, team-building, time-series and dynamic modeling, anomaly detection, biotechnology, high-frequency signal processing Languages: - Python (NumPy, Pandas, PySpark) - SQL - Scala ML Platforms: - TensorFlow - Keras - Scikit-learn Engineering: - AWS - GCP - Docker - Apache Spark - Flask - Airflow - CI/CD (Jenkins, Kubernetes)
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