Data professional working to inform business decisions, prepare, analyze, visualize, and gain key insights from data, share findings, and provide data-driven recommendations. Work with data analytics platforms, including Amazon EMR, Redshift, Kinesis, DynamoDB, SageMaker, Spark, Airflow, SQL, and Python. Developed and delivered in-person hands-on workshops on Python for Data Science, Data Analysis, Data Visualization, and Machine Learning. Completed a wide variety of projects successfully and with positive feedback. Projects range from the environment to e-commerce, and transportation.