Liyang Zhao

Liyang Zhao

Berkeley, California, United States
1K followers 500+ connections

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About

A full-time data scientist at LinkedIn, working in LinkedIn Talent Solution and Learning…

Activity

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Experience

  • LinkedIn Graphic

    LinkedIn

    Mountain View, California, United States

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    Sunnyvale, California, United States

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    Sunnyvale, California, United States

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    berkeley

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    Hong Kong

Education

  • Harvard University Graphic

    Harvard University

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    Mathematics Honor Program
    L&S Highest Distinction
    Member of Phi Beta Kappa

Projects

  • Spotify Playlist Recommender

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    In this project, we worked with the one million playlists dataset provided by Spotify and attempted to build three different recommender systems to predict songs for playlists. We used the interaction matrix between tracks and playlists alone to train our models, and we evaluated the performances of each model using r-precision and discounted cumulative gain. Finally, we concluded that the K-Nearest-Neighbor-based ranking algorithm is the best performing model, achieving an average overlap…

    In this project, we worked with the one million playlists dataset provided by Spotify and attempted to build three different recommender systems to predict songs for playlists. We used the interaction matrix between tracks and playlists alone to train our models, and we evaluated the performances of each model using r-precision and discounted cumulative gain. Finally, we concluded that the K-Nearest-Neighbor-based ranking algorithm is the best performing model, achieving an average overlap score of 0.7956 and an average DCG score of 0.4153 on test data. In addition to being accurate, the K-Nearest-Neighbor-based ranking model can generate 10 track predictions for a seeded playlist using 2.8 seconds on average, which is reasonably fast.

    See project

  • Eigenvalue Solver

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    - Implemented the QR algorithm with Wilkinson shift that finds eigenvalues of real symmetric matrices with cubic convergence

  • Time Series Prediction

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    - Performed method comparisons between SARIMA and ARCH/GARCH methods, and predicted the next 104 google trend-like data based on a given training set.

    - Conducted cross-validation to select the model with the lowest MSE

  • Ant Colonies Extrapolation

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    - Implemented regression diagnostics on the ant data set by analyzing Standardized Residuals and Cook’s Distance.

    - Performed model selections by comparing Adjusted R-square, AIC, BIC, Mallow’s Cp and selected the variables that may influence the mass of ants by k-fold cross-validation.

    - Predicted Colonies of ants based on the selected variables by logistic regression and drew reasonable conclusions

Honors & Awards

  • Dorothea Klumpke Roberts Prize in Mathematics

    University of California, Berkeley

    Awarded to seniors who have demonstrated truly exceptional scholarship in mathematics

  • QuantEdge Award for Academic Excellence

    University of California, Berkeley

    Awarded in recognition of exceptional and sustained academic excellence among students of senior academic standing.

  • Kraft Award for Freshmen

    University of California, Berkeley

    For the academic achievement of the Top 3% of Berkeley’s freshman class

Test Scores

  • Exam P - Probability

    Score: Passed

  • Exam FM - Financial Mathematics

    Score: Passed

Languages

  • Chinese

    Native or bilingual proficiency

  • English

    Full professional proficiency

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