CV for Transportation engineering / data science

目前大三，这个CV是准备用于暑研的申请，还请老师看看看

RUIQI LIU

liurq9@mail2.sysu.edu.cn

School of Intelligent Systems Engineering, Sun Yat-sen University, China

+86 13140275397
<h1>  Education</h1>
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<h2>Transportation Engineering, Sun Yat-sen University                                                                                                                            2018 – Present</h2>

• GPA: overall 88/100 for the last two years
• Courses include: Data Structure and Algorithm, Traffic Survey and Analysis, Linear Algebra, etc.

<h1>Selected Grants and Honors</h1>
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<h2>The First Prize Scholarship, Sun Yat-sen University                                                                                                                         2019 – 2020</h2>
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<h2>The Third Prize Scholarship, Sun Yat-sen University                                                                                                                         2018 – 2019</h2>

<h2>Second Prize of Contemporary Undergraduate Mathematical Contest in Modeling                                                                                                                         2020</h2>

• Nation-wide

<h2>8th Place in Shenzhen Open Data Innovation Contest, NanShan, Shenzhen                               2020</h2>

• Nation-wide

<h2>Honorable Mention in Mathematical Contest in Modeling                                                                    2020</h2>

• World-wide

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<h1> Research Experience</h1>
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<h2>Research Assistant, Professor Junbo Wang                                                                                                                       2020.8 – Present</h2>

• Focus area: Federated Learning in Internet of Vehicles
• Propose a new Federated Learning protocol, to address the problems such as low efficiency in each training round and asynchronous problem in Internet of Vehicles
• Created a new algorithm which sets a cache to obtain more clients and uses new aggregation protocol

<h2>Research Assistant, Professor Ming Cai                                                                                                                     2019.8 – 2019.10</h2>

• Project: utilized cellular signaling data to optimize bus routes in Foshan, Guangdong
• Explored big data to observe citizens’ travel preference and differences of transit service in different districts
• Basic data cleaning and analyzation

<h2>Participant, The International AI Training Program for Chinese Universities                                                                                                                     2019.7 – 2019.7</h2>

• Sponsors: Department of international exchange & cooperation of the Ministry of Education, North China Electric Power University
• Attained basic skills about machine learning and deep learning

<h1>  Skills</h1>
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<h2>Language Skills</h2>

• TOEFL            R:27 L:25 S:22 W:20          Total:94

<h2>Computer Skills</h2>

• Proficient in data mining and software (Python and Tableau)
• Proficient in machine learning (Sklearn, Lightgbm, etc.)
• Basic use of deep learning and Federated Learning (Keras and Federated Tensorflow)
• Basic use of Spark and SQL (Pyspark)