I am a curious Data Scientist starting my career at Meta in Bootcamp, learning about industry-standard data analysis tools and techniques (Tableau, SQL, Python), and creating new dashboards and reports identifying KPIs in big data sets. I enjoy analyzing sports data medical data on Kaggle as well as stock data using Python (numpy, pandas, seaborn, matplotlib) and SQL. I examined the impact of statistical feature engineering on the accuracy of 30 machine learning models via A/B testing.
I am looking for a chance to grow and increase my skillset and hopefully get a chance to go under some mentorship so that I can further understand how to improve in my career.
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