Highly motivated and results-driven analytics professional with 10 years of experience in the tech industry. Experienced in driving innovative solutions and driving data-driven insights to tackle complex business challenges.I'm currently a Software Development Engineer on Audible's Royalty Reporting team (Stark) where I oversee exception reporting, or problematic records that may arise through the royalty process.In my previous role as an Analytics Engineer I maintained the entire analytics infrastructure on AWS along with automated reporting, various content analytics initiatives, fraud investigation, and data visualization. I am an expert with SQL and Python, but also currently use Java (Spring) and Spark (Scala) in my day-to-day work.Main Skillset:Languages: Python, Scala, Java, SQL (Redshift, PostgreSQL), R, JavaScript/HTML/CSS, BashFrameworks and Libraries: Spark, Spring, React/Redux, dplyr, ggplot2, Flask, Pandas, Scikit-learn, D3/DC Tools: Git, Unix/Linux, MacOS, Excel, AWS, Quicksight, IntelliJ, PyCharm, DockerSkills: - Data: Data Warehousing, Database Design, Data Cleansing, Data Visualization, Dashboard Design- Analysis: Fraud Detection, Statistical Modeling, Sentiment Analysis, Forecasting, Anomaly Detection- Programming: Shell Scripting, Testing, Web App/API Development, CI/CD, Machine Learning