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    Wei Xu

    Data Scientist, Ph.D. in Economics

    Wei Xu is a highly skilled professional with a Ph.D. in economics from the University of California, Santa Cruz. His expertise lies in causal inference, simulation, quantitative and statistical modeling, supervised/unsupervised machine learning, data visualization, big data analysis with Spark/MapReduce, and sentiment analysis with NLP.

    Wei is proficient in a wide range of languages and tools including Python, R, Matlab, STATA, LaTex, SQL, Spark/MapReduce, and TensorFlow. His Python library proficiency includes Numpy, Pandas, Scikit-learn, Scipy, NLTK, and NetworkX. He excels in data visualization tools like Matplotlib, Seaborn, and ggplot2, and is well-versed in various machine learning algorithms such as Linear/Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Naive Bayes, Decision Tree, Random Forest, Gradient Boosting, and K-Means Clustering. Additionally, he has expertise in deep learning models like Deep Neural Network and Recurrent Neural Network.

    Wei Xu's educational background includes a B.A. in Mathematical Economics from Fudan University and a Ph.D. in Econometrics and Quantitative Economics from the University of California, Santa Cruz. He has held key roles in prestigious organizations such as Sr. Applied Scientist at Uber, Data Analysis and Machine Learning Projects at Laioffer, and as a Research Assistant working on Applied Econometrics and Causal Inference with Professor Dan Friedman at UC Santa Cruz.

    Wei Xu
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    Location

    San Francisco Bay Area