Sign In

Joe Lu

Data Scientist in Systematic Trading and Analytics Platform group at Fidelity Investments

Joe Lu is a data scientist with expertise in programming languages such as Python, R, and SQL. He has a strong background in machine learning techniques including data visualization, cleaning, feature engineering, and various algorithms like Linear & Logistic Regression, K-Nearest Neighbor, Naïve Bayes, Random Forests, PCA, K-Means, and Hyperparameter Tuning.

He holds a Master of Science in Computational Finance from Carnegie Mellon University's Tepper School of Business and a Bachelor of Arts in Mathematics & Economics from Cornell University. Joe has a wealth of experience in the field, having worked as a Data Scientist at Fidelity Investments, a Data Science Fellow at NYC Data Science Academy, and in roles at RBC Capital Markets and BlackRock.

Apart from his professional work, Joe has contributed to the NYC Data Science Blog and maintains an active presence on Github showcasing his projects and collaborations. He is continuously expanding his skills and knowledge, evident in his sabbatical where he focused on enhancing his data science skills and exploring different cultures worldwide.

For more information or to connect with Joe Lu, you can visit his blog on NYC Data Science at https://nycdatascience.com/blog/author/joe-lu/ or explore his projects on Github at https://github.com/jzl4/. You can also reach out to him via email at [email protected].

Joe Lu
Add to my network

Location

New York City Metropolitan Area