π₯Έ Hey there! You're probably wondering why I was viewing your profile. Just an interested human going through the community learning about individuals and their stories.Feel free to connect with me but leave me a custom message if you do! (Please no sales and new product messages or contract jobs. I will not reply to 99.999% of them π’.)________________________________10+ years of experience and background in strategy, data analytics, technology, decision science, data visualization, operation and consumer insights with a splash of artificial intelligence.I am currently at Rivian leading the Facilities Analytics team to focus on driving analytics holistically and creating a centralized and data democratized environment. I engage in data daily (LOTS n LOTS of SQL & dashboards, some Python for modeling and processing, and of course, strategy) to provide a greater visibility into the company's operations by building relationships across departments, understanding different areas of the business to solve business problems and innovate new data solutions to drive overall growth.Outside of work, I'm always trying to be active by doing activities like hiking, working out at the gym, online gaming, attempting to plan to travel the world and explore, or keeping it simple and practicing my craft in analytics.Two mottos I like to follow: 1 - is to always have intellectual humility 2 - to not have an answer for everything but a question to every answer*****Some areas I've dabbled on:Data Visualization (Tableau 8+Years! Woo), Data Strategy & Storytelling, A/B Tests, Statistical Analysis, Predictive Analytics (ML, Regression, Classification), Feature Engineering, Cost & Budget Analysis, KPI Forecasting, Project Management, Agile MethodologiesTools/Learning: Tableau, SQL, Python, Alteryx, GitLab, BitBucket, Jupyter Lab, SQL Server, AWS (S3, Redshift, EC2, SageMaker), Snowflake, Databricks, Airflow, dbt, Jira, Confluence*****My posts are my own and do not reflect the opinions of my current, past, or future employers.
Listed skills include Microsoft Excel, Sql, Data Analysis, Tableau, and 26 others.