Software Developer Resume Menlo Park - Hire IT People

PROFESSIONAL EXPERIENCE

Software Developer

Confidential, Menlo Park

Responsibilities:

Developed Google Chrome extension to protect data privacy using JavaScript, CSS, and HTML

Data Analyst

Confidential

Responsibilities:

Spark, Python, and SQL dev elopment, design of experiments, hypothesis testing, and database design
Built Bayesian network based on usage data that describes steps customers take when installing Confidential software
Employed K - Means clustering to arrive at ten characteristic profiles that describe Confidential customers

Data Scientist

Confidential, Palo Alto

Responsibilities:

Developed applications in Java using Google gson to convert JSON to CSV and correct JSON against any Bigquery schema
Built an automated jobs system in Python, PostgreSQL, and Bigquery to generate data for Westfield’s Digital Suite of Services UK report, which includes operational, financial, and customer data, scheduled daily
Built the Product Search report for Scentre Group, Australia. Starting with nothing other

Data Scientist

Confidential

Responsibilities:

Queried large data sets using Python and SQL to deliver data to the Marketing Department and stakeholders
Applied supervised and unsupervised machine learning algorithms to deliver business insights, visualized in Tableau
Designed and deployed HiveQL code to merge overlapping time periods in customer usage data, thereby fixing inaccuracies in reported usage time
For customers under a support contract, developed HiveQL to count the number of concurrent users at any given moment, to identify piracy and over-usage
Developed a data pipeline for a logistic regression model to predict which customers renew their subscriptions
Designed a data model for customer campaign interaction data in order to measure campaign performance
Explored and documented data sources for institutional learning

Analytical Scientist

Confidential

Responsibilities:

Researched, designed, and implemented fuzzy decision trees in Java using fuzzy logic, machine learning, and maximum likelihood estimation
Developed efficient and scalable software, including tools for text-mining as well as supervised and unsupervised learning models, to support predictive modelling efforts
Built predictive models to identify fraud in large data sets, mostly for MasterCard, using Confidential data mining and artificial intelligence software
Received secret security clearance in Spring 2014 after passing extensive federal background check

Confidential

Responsibilities:

Compared and analyzed Bucher-Misra and Levenberg-Marquardt algorithms
Implemented the Bucher-Misra multilateration algorithm in MATLAB for locating sound sources in 3D space
Utilized the Weiss-Weinstein lower bound to calculate the observation time and signal-to-noise ratio necessary to minimize the error associated with locating sound sources

Confidential

Responsibilities:

Researched machine learning algorithms to classify bird species
Developed a classification algorithm for identifying bird species from sonograms using signal processing techniques
Results published in Connor, E.F., Li, S. & Li, S.J. (2012). Automating identification of avian vocalizations using time-frequency information extracted from the Gabor-Transform.
Modelled the time it takes to send a message between two points in a network
Developed a linear model, delivery time = bandwidth * message size + latency + pattern, where pattern is a recurring abnormality in the graph of delivery time versus message size
Modelled this recurring pattern using a custom pattern recognition algorithm