Data Scientist Intern (Analytics Group) Resume

SUMMARY:

Web - scrapped Amazon reviews and predicted customer rating with 90% accuracy using Python (NLTK, Sklearn) to web-scrape HTML source code and a Naïve Bayes model to predict customer rating
Reached top position in a loan prediction competition (data set is 150 GB) by implementing an Ensemble (Machine Learning) of a Random Forest model and a Neural Network model
Evaluated the relationship between news’ publishing time and stock price jumps by developing a Python(Beautiful Soup for web scrape) and R for machine learning algorithm for predictions
Launched the back-end of a dating website by implementing a MySQL database with 100 GB worth of data and developed Map-Reduce script to perform profile matching
Created regression model for human health data set after performing outlier detections, tests for multicollinearity, tests for heteroscedasticity, and used step-wise regression to improve the model
Executed a SARIMA time series model for a stock index and incorporated GARCH model after testing for stationary, heteroscedasticity, and white noise

TECHNICAL SKILLS:

Programming Languages: Python, R, MATLAB, SQL, SAS

Analytics Techniques: Machine Learning, Time Series, Linear Regression, Logistic Regression, Text Mining, Map Reduce, Teradata, Mongodb, Tableau, Hadoop

PROFESSIONAL EXPERIENCE:

Confidential

Data Scientist Intern (Analytics Group)

Responsibilities:

Project to analyze customer retention rate for one of William Sonoma’s brands by modeling customer behaviors with Machine Learning Algorithm through Python’s Sklearn and R’s Glm package
Worked in Teradata (SQL) environment for data gathering (data set consists of 60 tables, 300 fields, and one million records)
Performed statistical analysis using R’s statistical packages (car, ggplot2, e1071)
Search Engine Optimization by improving recall and ranking using Machine Learning Algorithms

Confidential

Test Engineer (Contract)

Responsibilities:

Generated material characterization for solar coating with spectroscopy (FTIR, Vi-IR, LIBS)
Implemented and upkeep an SQL database of all coating related test results and performed data analysis using MATLAB and data visualization with Tableau
Worked in a cross functional and international research and manufacturing team consist of French Scientists, Chinese Solar Manufacturer, and American scientists

Confidential

Product Development Engineer

Responsibilities:

Engineering lead in the development of a consumer product ($10M Project)
Worked in an international cross functional team consists of Procurement, Marketing, Sales, and Finance
Communicated in Mandarin Chinese with Chinese manufacturers and in English with U.S. Marketing team

Confidential

Intern

Responsibilities:

Worked with a femtosecond laser to develop an autocorrelator to measure pulse length and conducted Helium Ion Imaging experiments

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