Applied data and research scientist with nearly 10 years of experience in statistical modeling, predictive analytics, research, and corporate strategy leadership. Proven success leveraging various computational tools and mathematics to conquer business challenges with data driven solutions. Former BlackcomputeHer predoctoral fellow, ex-Google computer science researcher, ex Amazon Prime Video intern, 2021 Grace Hopper scholar, former AT&T Technology Academy Extern, and Samsung Innovation Campus Artificial Intelligence student. Tech Stack: Python (Scikit-Learn, Tensorflow, Keras, PyTorch, SciPy, PyCaret), R, Java, SQL, Scala, Kusto (KQL), DAX, Git, Neoj4, Linux / Unix, Windows, bash, Docker, Databricks, Airflow, AWS, Google Cloud, Azure, Spark, Hadoop, Hive, Impala, Sqoop, Shiny, Tableau, Alteryx, Power BI, Microstrategy, Looker, Datorama, Data Studio, Funnel