Beibei Wang Email and Phone Number
Beibei Wang phone numbers
Stanford PhD, machine learning engineer in LinkedIn. Experience in machine learning, deep learning, data analysis and statistical modeling in the past career and research. I look forward to applying data mining, machine learning and artificial intelligence techniques to interesting fields.• Programming: Python, Spark, C++ , SQL, Scala, Shell Script, R, MATLAB• Tools and Platform: Tensorflow, Keras, Spark, Hadoop, Hive, Scikit-Learn, Caffe, H2O• Machine Learning Model: CNN, RNN, random forest, gradient boosted trees, SVM, GLM, clustering, PCA, KNN, logistic regression, YOLO algorithm, LSTM, Attention Model• Other: NLP, computer vision, deep learning, imaging and visualization, Monte Carlo, statistical analysis
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Machine Learning EngineerLinkedin Apr 2019 - PresentSunnyvale, Ca, Us• Developed “Predicted Confirmed Hires” metric to estimate the number of people who will find job through LinkedIn product. The metric leverages InMail signals to estimate “Confirmed Hires” and brings quick resolution to experiments.
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Phd Research AssistantStanford University Sep 2012 - Apr 2019Stanford, Ca, Us• Implemented 3D-convolutional networks on 3d fluid flow video acquired from CT imaging, aiming to study shale core permeability distribution and fluid transport mechanism. Model built using tensorflow.• Molecular simulation of gas adsorption and density estimates in carbon-based and clay-based system using Grand Canonical Monte Carlo methods. -
Data Scientist InternLinkedin Jun 2018 - Sep 2018Sunnyvale, Ca, Us• Developed scalable multi-dimension diversity index to quantitively assess diversity of various groups and benchmark trends with LinkedIn data.• Work closely with product team and made insightful product recommendations.• Data inquiry and wrangling with SQL on presto and hive platform. Data cleaning, analysis and model building using python.
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Data Scientist InternWestern Digital Jun 2017 - Sep 2017San Jose, Ca, Us• Analyzed correlation and multicollinearity of D/S tests, aiming to inspect test redundancy. Dataset contains 1.6K features and 2.7M samples.• Built generalized linear regression model to predict test result and classification models (random forest, gradient boosting machine) for variable significance analysis.• Data inquiry and wrangling from Hadoop platform. Data cleaning, analysis and model building using python and PySpark, using python packages such as scikit-learn, h2o, pandas, matplotlib etc. -
Research Scientist InternShell Jun 2016 - Sep 2016London, England, Gb• Built predictive regression model to understand the relationship between interested outcome and system environments, such as pressure, temperature, and molecular features. • Built statistical molecular simulation model using Grand Canonical Monte Carlo methods in Linux environment, aiming to investigated the impact of pore proximity on interfacial tension for multicomponent mixtures in tight rock system.
Beibei Wang Skills
Beibei Wang Education Details
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Stanford UniversityManagement Science And Engineering(Minor) -
Stanford UniversityMaster'S Degree
Frequently Asked Questions about Beibei Wang
What company does Beibei Wang work for?
Beibei Wang works for Linkedin
What is Beibei Wang's role at the current company?
Beibei Wang's current role is Machine learning engineer at LinkedIn; Stanford PhD.
What is Beibei Wang's direct phone number?
Beibei Wang's direct phone number is +165084*****
What schools did Beibei Wang attend?
Beibei Wang attended Stanford University, Stanford University.
What skills is Beibei Wang known for?
Beibei Wang has skills like Matlab, Microsoft Office, Research, Modeling, Data Analysis, Teaching, Numerical Analysis, Microsoft Excel, Statistics, R, Chemistry, C++.
Who are Beibei Wang's colleagues?
Beibei Wang's colleagues are Fan Yang, Nora Swidan, Chin Bin Hon, Harsh Patel, Wang Rao, David Mai, Andrew Rogier.
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