SQL,Python,Machine Engineer

ZIMIN JIN Los Angeles, CA ***** 213-***-**** ********@***.***

Data Scientist/Data Engineer

EDUCATION

University of Southern California (USC), Los Angeles, CA Expected Completion 2021/05 Master of Science, Electrical and Electronics Engineering Macau University of Science and Technology (MUST), Macau, China 2015/08–2019/05 Bachelor of Science, Electronic Information Technology PROFESSIONAL EXPERIENCE

DROPSHYP, Los Angeles, CA Data scientist internship 2020/07–Now

Leveraged MYSQL to Manage the databases of suppliers, users and administrators from 4 countries and hundreds types of products table. Built reasonable relation tables and link product frontend to backend. Implement API in DAO and service.

Collaborated prediction of goods that are likely to be purchased for each user, by setting up surrogate model of Perceptron Algorithm for training the datasets of users’ browsing and purchasing records. The rate of website hit increased by 12%.

MOEV INC., Los Angeles, CA Artificial intelligence internship 2020/07– Now

Built artificial intelligence and machine-learning software, centered within Cloud TM. Provided the most efficient and low-cost EV charging solutions by writing optimized pseudo-codes and flowcharts. SCIENCE PROJECT

University of Southern California, Los Angeles, CA 2020/02–2020/05 Optimization of classification on indoor wireless localization

Accomplished a project focusing on the optimization of classification on indoor wireless localization to find a model that can classify the users’ locations with high accuracy.

Compared the accuracy of 5 different classifier and gain the best result. Put effort into feature-space dimensionality such as introducing new features as nonlinear functions of the given features.

Operated Cross validation to choose parameter values. K-Nearest Neighbor Classifier reaches the lowest error rate of 0.0062.

Macau University of Science and Technology (MUST), Macau, China Voice Discrimination Between Men and Women Based on Machine Learning 2019/01–2019/05

Applied Naïve Bayes classifier on the machine learning model to distinguish male and female voices.

Identified intrinsic flaw in using pseudoinverse learning method to classify voices; made decision to use Perceptron learning with gradient descent, achieving an exceedingly low error rate in classification, improve accuracy from 92% to 98%.

Honed software coding abilities in Python and skill for processing large data sets with 24 features and 3 millions records of data.

Macau Express Helper, Macau, China 2018/09–2018/12

Implemented user interface for mail kiosk enabling self-service functionality. Utilized HTML, CSS, and Bootstrap to design and develop front-end UI. Deployed Django framework in Python and SQLite for back-end implementation and database.

Southeast University, Nanjing, China 2018/05–2018/08 Antenna Design Optimization Based on Evolutionary Computation and Machine Learning Techniques

Applied evolutionary algorithms in machine learning and leveraged the surrogate model to optimize the shape of a continuous antenna structure.

SKILLS

Programming: C / C++, Python, MATLAB, MySQL

Core Competencies: Machine Learning, ETL, Data Mining, Data Visualization, Django

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