I am a data scientist who thrives on transforming raw data into actionable insights that help organizations make better decisions. For me, working with data isn’t just a job—it’s part of who I am. From organizing my iTunes library as a teenager to building ML models on large datasets today, I’ve always been drawn to creating structure and uncovering patterns.What I Bring to the Table:✅ Data Expertise: Skilled in Python, SQL, and R, with experience building predictive algorithms, machine learning models, and automated workflows to improve efficiency and accuracy.✅ Visualization Skills: Proficient in Tableau and Looker, creating dashboards that present complex data in clear, actionable formats.✅ Database Knowledge: Experienced in designing and managing databases, including MySQL, Snowflake, AWS Redshift, and Cassandra, for both local and cloud environments.✅ Cloud Computing: Proficient in AWS and GCP, optimizing data pipelines and developing solutions for large datasets. I find satisfaction in organizing and making sense of information—whether it’s structuring datasets for business insights or using analytics to track personal goals. I enjoy simplifying complexity and helping teams make informed decisions with clean, well-organized data. Teaching is another area I value deeply. As an adjunct professor, I guide students through Python, SQL, and machine learning, helping them build the practical skills they need to succeed in the field.I believe data has the power to address real-world problems. ✅Let’s connect and discuss how data can support smarter decisions and meaningful outcomes.