Power Plant Assistant

Huachao Lin Email : adlmy7@r.postjobfree.com

https://www.linkedin.com/in/huachaolin/ Github: https://github.com/hualin18 Mobile : +1-530-***-****

EDUCATION

University of California, Davis Davis, CA

Master of Science in Statistics; GPA: 3.87/4 Sept. 2018– March. 2021 University of California, Davis Davis, CA

Master of Science in Transportation Technology and Policy; GPA: 4/4 Sept. 2018 – March. 2021 Zhejiang University Zhejiang, China

Master of Engineering in Power Engineering; Overall Ranking: 1/25 Sept. 2015 – March. 2018 Zhejiang University Zhejiang, China

Bachelor of Science in Mechanical Engineering; GPA: 3.9/4 Sept. 2011 – July. 2015 SKILLS

Languages: Python, MySQL/SQLite/PostgreSQL, R, C/C++, Matlab. Visualization: Tableau, Seaborn, ggplot. Machine Learning: Pytorch, Tensorflow, Scikit-learn, CUDA. Software: Hadoop, SAS, SUMO, AutoCAD. Organizing data: Pandas, Numpy, JSON, XML, ETL. Technologies: Git, Linux OS, AWS RELEVANT EXPERIENCE

Project: Vehicle Plate Recognition May 2020- June 2020

• Feature extraction with blurring, threshold and contour algorithm, through OpenCV in python language.

• Use CNN to recognize the image, evaluate the model and compare with random forest recognition model. Project: Natural Language Processing (NLP) and Topic Classification April 2020

• Use NLTK to tokenize and lemmatize the texts and remove stopwords. Then vectorize it with TFIDF.

• Use many-to-one-RNN to classify topics, compared it with SVM with bag-of-word matrix above. Project: SuperHero Shiny APP March 2020

• Access Superhero API and create Shiny app with leaflet package to display the heros info in map by R. Project: Time Series Analysis: Gun and Death Dec. 2019

• Conduct time series analysis of the relationship between Gun sale data and Gun-related death data.

• Discuss the seasonal components of the data and lead (or lag) relationship between the two variables. Competition: HackMobility 2019, San Francisco July 20, 2019- July 21, 2019

• Fetch JSON data from the SmartCar API and store the odometer info each day in local SQL database.

• Through python dash, visualize the credit granted to customer to encourage low carbon travel. Project: Google Landmark Retrieval, Kaggle, 2019 May 2019- June 2019

• Lead the project in a three-member group.

• Feature mining with SIFT and the Bag-of-words technique.

• Build machine learning models that recognize up to 140,839 landmarks in Python language. Achieve a 53.3 accuracy rate with a neural network model in tensorflow to recognize the landmarks. WORKING EXPERIENCE

Research Assistant: Curb space Management Policy Analysis with Python and SUMO Jan. 2019- Jun. 2020

• Design the behavior of vehicles under congestion and curb shortage in python language.

• Utilize Python API to interact with SUMO sofeware, simulating traffic in San Francisco.

• Analyse and organize the simulated traffic data in pandas and conclude the results for policy making. Manager Assistant Internship, Zhejiang Rongzhi Power Technology Co., Ltd. Jul. 2014 - Aug. 2014

• Collect information about novel design and technology related to upgrading in power plant.

• Compile information with colleagues for industry and target market feasibility analysis and discuss it with manager.

HONORS AND AWARDS(SELECTED)

Graduate of Merit AND 1st Prize for “Cen Kefa” Scholarship Zhejinag University 2016 1st scholarship for Outstanding Merits Zhejiang University 2014 1st Prize: Chinese National Mathematics Competition Zhejiang, China 2010

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