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I am a data professional with 10+ years experience at large companies and VC backed startups. Specialization in supporting Go-To-Market functions through data and operational excellence and BUILDING data platforms that deliver data products at the speed of business. I am an expert SQL and Python developer with experience across all database platforms and data applications.
In addition, I teach SQL/Python/Machine Learning as an adjunct professor at Rutgers University, and regularly consult small/large companies on data strategy.
I have experience as an individual contributor and as a leader managing large teams of engineers/analysts/data scientists, local and off shore.
As a data engineer/architect, I have built entire data platforms and data pipelines that support the most critical areas of business. Specialization in integrating best in breed tools to build a modern data stack. Some of the tools I use as a data engineer are Airflow, FiveTran, Talend, Snowflake, dbt, Hightouch, and more.
https://medium.com/towards-data-science/building-a-data-platform-in-2021-b759f6470426
As a data scientist, I have built predictive models to identify fraud, prioritize incoming leads/prospects and to generally optimization business functions. Specialization in propensity to buy models that support sales/marketing. Some of the tools I use as a data scientist are Jupyter Notebooks, Streamlit, scikit-learn, Tensorflow, Databricks, and more.
https://medium.com/dev-genius/using-airflow-to-build-a-lightweight-machine-learning-pipeline-7fb7e76a82f