TU NI
nitu@berkeley.edu ● 1807 Addison St Unit2 Berkeley CA 94703 ● (510)-944-4880
SUMMARY
 Engineering student with great interest in positions related to Data Science & Artificial Intelligence
 Technical Skills: Machine Learning, Optimization, Mathematical Modeling, Database
 Programming Skills: Python, SQL, MATLAB, R, Spark, Maple, C, Microsoft Office
EDUCATION BACKGROUND
 College of Engineering, University of California, Berkeley, USA Expected Jun.2017
Master of Engineering in Industrial Engineering &Operations Research
 School of Mathematical Sciences, Zhejiang University, China Jun.2016
Bachelor of Science in Mathematics&Applied Mathematics, GPA (3.86/4)
ACADEMIC & PROFESSIONAL EXPERIENCE
Machine Learning for Patent Similarity Analysis Aug.2016-present
Capstone project, University of California, Berkeley
 Constructed a model to find relevant prior art for 5 million patents, reducing the probability of litigation.
 Implemented natural language processing algorithm to pre-process the text and train the model with Python.
 Working with Google and USPTO to improve the evaluation and prediction in patent litigation.
Converting Forest Fire Waste to On Demand Renewable Energy Sept.2016-present
Environment &Renewable Energy Lab, Berkeley Institute of Data Science
 Working on the optimization of supply chain from forest fire waste to power plants.
 Used clustering techniques (K-means) to improve the biomass transportation with PostgreSQL & QGIS.
 Developed the algorithm to the whole California in a huge data scale of roads and biomass (4 TB).
Music Recommendation with Convolutional Neural Network Sept.2016-present
Research project, Machine Learning at Berkeley
 Improving content-based music recommendation with convolutional neural network by Keras.
 Computed the latent factor for both users and songs with weighted matrix factorization as labels.
 Preprocessed the music audio clips and used PCA to extract the features.
New Supervision System of Garbage Sorting in Community Sept.2014-Nov.2015
Research group leader, Zhejiang University, China
 Handled the problem of garbage sorting in an “intelligent city” perspective with data science.
 Utilized statistical learning methods to improve the management of more than 2500 communities.
 Part of the new supervision system was implemented by local government to enhance efficiency.
LEADERSHIP EXPERIENCE & ACTIVITIES
The Coach of School Soccer Team Sept.2012-May.2016
 Organized and led a cohesive team of 23 to attend more than 30 intramural soccer matches.
The Captain of Team in Mathematical Contest in Modeling Nov.2014-Feb.2015
 Developed a model to search for a crashed plane and won the Meritorious Winner.

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Tu_Ni_Resume

  • 1. TU NI [email protected] 1807 Addison St Unit2 Berkeley CA 94703 ● (510)-944-4880 SUMMARY  Engineering student with great interest in positions related to Data Science & Artificial Intelligence  Technical Skills: Machine Learning, Optimization, Mathematical Modeling, Database  Programming Skills: Python, SQL, MATLAB, R, Spark, Maple, C, Microsoft Office EDUCATION BACKGROUND  College of Engineering, University of California, Berkeley, USA Expected Jun.2017 Master of Engineering in Industrial Engineering &Operations Research  School of Mathematical Sciences, Zhejiang University, China Jun.2016 Bachelor of Science in Mathematics&Applied Mathematics, GPA (3.86/4) ACADEMIC & PROFESSIONAL EXPERIENCE Machine Learning for Patent Similarity Analysis Aug.2016-present Capstone project, University of California, Berkeley  Constructed a model to find relevant prior art for 5 million patents, reducing the probability of litigation.  Implemented natural language processing algorithm to pre-process the text and train the model with Python.  Working with Google and USPTO to improve the evaluation and prediction in patent litigation. Converting Forest Fire Waste to On Demand Renewable Energy Sept.2016-present Environment &Renewable Energy Lab, Berkeley Institute of Data Science  Working on the optimization of supply chain from forest fire waste to power plants.  Used clustering techniques (K-means) to improve the biomass transportation with PostgreSQL & QGIS.  Developed the algorithm to the whole California in a huge data scale of roads and biomass (4 TB). Music Recommendation with Convolutional Neural Network Sept.2016-present Research project, Machine Learning at Berkeley  Improving content-based music recommendation with convolutional neural network by Keras.  Computed the latent factor for both users and songs with weighted matrix factorization as labels.  Preprocessed the music audio clips and used PCA to extract the features. New Supervision System of Garbage Sorting in Community Sept.2014-Nov.2015 Research group leader, Zhejiang University, China  Handled the problem of garbage sorting in an “intelligent city” perspective with data science.  Utilized statistical learning methods to improve the management of more than 2500 communities.  Part of the new supervision system was implemented by local government to enhance efficiency. LEADERSHIP EXPERIENCE & ACTIVITIES The Coach of School Soccer Team Sept.2012-May.2016  Organized and led a cohesive team of 23 to attend more than 30 intramural soccer matches. The Captain of Team in Mathematical Contest in Modeling Nov.2014-Feb.2015  Developed a model to search for a crashed plane and won the Meritorious Winner.