Accelerating product adoption, and decreasing time-to-insight for customers, through:- Coaching teams on SQL strategies/best practices, building ad-hoc SQL views, and debugging customer-built models- Consulting with customers on warehouse management & best practices – increasing data literacy & confidence within teams- Building functional, digestible, and actionable BI that encourages asking (and answering) the deeper questions- Writing clean documentation for users and team mates

Customer Solutions Analyst at Source Medium, a full-service data & analytics company serving high-growth direct-to-consumer (DTC) and omnichannel eCommerce brands.--As a CSA, I have a deep understanding of our product -- as well as the underlying data model -- and use this expertise to educate customers, empowering them to surface actionable analytical insights using their own data.

Providing recording, mixing, and mastering services to passionate and talented creators

Helping teams and individuals check projects off their to-do lists. Projects relating to ML/DL, interactive dashboard creation, data visualization, Python scripting, and web development.

Data mining (and ETL), data visualization, statistical analysis, machine/deep learning, and NLP. Projects focusing on predictive modeling (ML/DL for regression and classification), time series analysis, computer vision, and NLP. Projects include: SignBot, ​May 2020​ Using computer vision and deep learning to interpret ASL from live video​ (Python, Tensorflow/Keras, OpenCV, Flask, Pydata stack) MovieLens recommender system, ​April 2020 A recommender system for the MovieLens database using collaborative and content-based filtering (Python, Pydata stack, Apache Spark, Flask) Song Genre Classifier, ​March 2020​ Using machine learning to predict song genre from timbre composition (Python, Pydata stack)