Assistant Python

MIN(MAGGIE) HUANG

** ********* ******, *********, ** 01609

*******@***.*** / 774-***-****

EDUCATION BACKGROUND

Worcester Polytechnic Institute(WPI), Worcester, MA May, 2021 Master of Science, Data Science

Main Courses: Deep Learning, Machine Learning, Big Data Management, Database Management System, Information Retrieval, Statistical Methods for Data Science, Data Mining Business Applications, Business Intelligence GPA: 3.80/4.0

Shenzhen University, Shenzhen, China June, 2019

Bachelor of Science, Mathematics and Applied Mathematics (Financial Mathematical) Bachelor of Economics, Finance

SKILLS

Python(NumPy, PyTorch, Pandas, Scikit-learn, Matplotlib), Java(Hadoop, Spark), Scala, SQL(MySQL, Oracle), MongoDB, R, Matlab, Tableau

PROJECT EXPERIENCE

Preprocessed CycleGAN for Cartoon Face Generation Mar, 2020 - May, 2020

•Applied a preprocessed CycleGAN to generate cartoon faces from real faces of people using PyTorch

•Designed a 3-layer CNN and 3-layer FC neural network to normalize the the input images

•Removed the background of the input images by applying DCNNs based on atrous convolution Designed A Web Based Rent Management System Oct, 2019 - Dec, 2019

•Designed a rental system for WPI residential services that allows students to search and apply for accommodation and allows managers to manage available properties.

•Applied MySQL as Database Management System.

•Developed web applications by using Django as the backend framework. PyMySQL was applied to connect database and run SQL script in Python.

•Used HTML+CSS+JS as the frontend languages. We used bootstrap.css to implement responsive layout. Nginx+uWSGI was used as the Web server and proxy.

NLP Analysis of Yelp Restaurant Reviews Oct, 2019 - Nov, 2019

•Predicted the star rating from the reviews data by applying Bag of words Model with TF-IDF method and calculated the accuracy rate.

•Created a Word Cloud to find out which words in reviews are most frequent. Stacked Regression to Predict House Prices (Kaggle) Sept, 2019 - Oct, 2019

•Combined XGBoost, KRR, Lasso Regression, LightGBM, Elastic Net Regression and used StackNet in Python to predict houses prices.

•Achieved top 21% on Kaggle and the score is 0.12. INTERNSHIP EXPERIENCE

Basis Technology, Cambridge, MA Research Intern(NLP) Sept 1, 2020 - Dec 11, 2020 Entity Linking Capstone Project

• Implemented latent relations neural entity linking model (entity disambiguation-only model).

• Tackled candidate selection and prior probability calculation problems using the BT dataset

• Trained and Tested the model using different sizes of the BT dataset. The result shows that F1-score is increasing with larger BT dataset.

Galaxy Capital, Shenzhen, China Investment Analyst Assistant Aug 1, 2017 - Sept 1, 2017

•Took part in the industry researches in domestic co-working program and ticket markets of performing arts and sports; collected and integrated market conditions.

•Wrote business plan and made financial models for enterprises.

•Made preparations for the projects’ road-show, sorted relevant materials and entered them in the system.

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