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Software Engineer Intern Resume

Richardson, TX

SUMMARY:

  • Intellectually curious and adaptive candidate pursuing M.S. in Computer Science, with B.E. in Electrical Engineering and hands - on programming and statistical skills, seeking Full-Time opportunity in Data Science starting from 01/2020
  • Coursework in Advanced Mathematics and Statistical Modeling; Machine Learning techniques (SciKit-learn, Python/Pandas, Matplotlib, NumPy, Jupyter Notebooks)

TECHNICAL SKILLS:

Working knowledge in: Python, R, Tableau, AWS and MS Office (Excel, Word, PowerPoint); familiar with Scala, Pyspark, SQL; prior experience with JavaS c ript, HTML, CSS

WORK EXPERIENCE:

Software Engineer Intern

Confidential, Richardson, TX

Responsibilities:

  • Completed Data Crawling of thousands of products from Amazon, Ebay, etc. by Scrapy, Selenium, Pandas in Python and stored the data in MongoDB and transformed to csv file
  • Completed Data Reduction of information of thousands of products by Python, Excel
  • Assisted system integration, completed data preparing and listing for the ecommerce website

Web Application Developer Intern

Confidential, Richardson, TX

Responsibilities:

  • Designed 5 new website interface for the customers(e.g. restaurants) by HTML, CSS
  • Completed dynamic functions for the responsive website by JavaScript including JQuery, Bootstrap
  • Added new functions like Contact Form by PHP
  • Completed assignments with minimal supervision and developed communication skills by presenting to senior managers

Confidential

Web Application Developer

Responsibilities:

  • Executed and compared results of multiple ML techniques in Python to predict Housing Price using 80 features
  • Performed exploratory data analysis (EDA), pre-processing (e.g., log transformation, missing value treatment, conversion of variable type), and feature engineering on raw datasets to understand the data and reduce its variability
  • Tested an array of ML algorithms, specifically Ridge Regression, XGBoost, Random Forest, Neural Net, Decision Tree, and OptionSVM, and utilized GridSearch to obtain best parameters and calculate metrics (e.g., RMSE, MAE, R-squared)
  • Gained experience working on real world data and developing an end-to-end Data Science solution

Confidential

Web Application Developer

Responsibilities:

  • Implemented a Deep Neural Networks ( Confidential ) Classifier on bank authentication dataset, extracted from images of genuine and forged banknote-like specimens, and evaluated effectiveness using Python/Pandas, SciKit Learn, and TensorFlow
  • Performed end-to-end data analysis and model development cycle through EDA, data standardization, and training vs. test data split, as well as model prediction and model evaluation
  • Benchmarked model performance along with Random Forests, showing the extraordinary predicting power of Confidential

Confidential

Web Application Developer

Responsibilities:

  • Completed the user sign up part: check the user name using AJAX, and ensure form validation using JQuery
  • Scripted Front-end part using template engines EJS, bootstrap and Back-end part using Node.JS for user, order, music
  • Used MongoDB for database component and input information by JSON file

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