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Sales State University

Decorah, Iowa, 52101, United States
February 17, 2018

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Bo Peng

Decorah, IA

563-***-**** U.S. Permanent Resident


Indiana University Bloomington, IN

Master of Science in Data Science August 2015- May 2017 Iowa State University Ames, IA

Bachelor of Science in Economics August 2007- May 2012 WORK EXPERIENCE

Udacity Remote Location

Project Reviewer December 2016 - Present

● Udacity is a for profit online tech educational company offering nanodegrees in technology fields. I am a project reviewer for the Self Driving Car nanodegree and Artificial Intelligence nanodegree.

● Review projects for Deep Learning, Machine Learning and traditional computer vision projects include building a vehicle detection pipeline, road lane detection pipeline, traffic sign classification project and behavioral cloning self vehicle driving via simulation, among other projects.

● Go through student’s source code and writeup and give constructive feedback and suggestions for better implementations through code and ideas.

● Co-wrote multiple official reviewer’s guides that other reviewers use as a guideline to those projects. Berkeley, CA

Deep Learning Intern May 2016 – October 2016

● Gofind.Ai is an artificial intelligence startup using deep learning to build a visual search app for consumer products. I worked on the Natural Language Processing (NLP) team working on various machine learning projects.

● Involved in and worked on building a doc2vec model to use on a semantic search engine.

● Worked on using Latent Dirichlet Allocation (LDA) on a large clothes catalog text corpus to generate unsupervised topic weights to aid with clothes catalog image classification.

● We used Part of Speech (POS) tag text chunking and Term Frequency-Inverse Document Frequency

(TF-IDF) of preprocessed text data to do unsupervised feature extraction. CBE Companies Cedar Falls, IA

Graduate Speech Analytics Intern II September 2015 - March 2016

● Worked on Natural Language Processing (NLP) and analysis for a debt collection company.

● We were trying to use NLP to build a predictive modeling metric to try to correlate a collector’s collection dollars amount by what behaviors or words the collector would say in his call transcripts.

● Custom built a large Natural Language word and phrase bank using Regular expression and call to text processing software Eureka.

● Used Gradient Boosting Machines (GBM) and Random Forest to do analysis on call data.

● Used scikit-learn, numpy, pandas, matplotlib in python for analysis and visualization. PREVIOUS EXPERIENCE

Online Merchandise Sales / Ticket Sales: Self Employed 2014 – 2015 Iowa State University: Graduate Student 2013 – 2014 Wells Fargo Home Equity: Home Preservation Specialist 2012 – 2013 Wells Fargo Home Mortgage (via Aerotek -Temporary): Retail Deficiency Analyst 2012 – 2012 SKILLS

Python, Deep Learning, Machine Learning, Computer Vision, NLP, Kaggle Expert Rank

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