Nancy Ru's Email Addresses & Phone Numbers

I am a data scientist with broad interests in analytics and data products. Currently I work on a wide variety of projects as part of a small team at Sling Media. Previously I was a Fellow at Insight Data Science and a physicist.Principal Programmer/Analyst @ • Analyzed video viewership data logged from mobile devices. Provided insights into...

I am a data scientist with broad interests in analytics and data products. Currently I work on a wide variety of projects as part of a small team at Sling Media. Previously I was a Fellow at Insight Data Science and a physicist.Principal Programmer/Analyst @ • Analyzed video viewership data logged from mobile devices. Provided insights into how to innovate and improve products. • Prototyped recommendation system using Spark MLlib on AWS EMR cluster. • Created and maintained data pipeline in Python for processing individual log events into sessions, with scheduled ingest into Redshift. Maintained log file processing script in Pig and Unix shell. • Provided Tableau dashboards to product managers for monitoring key business metrics. • Worked with marketing team to create infographics for company blog. • Created alerts for engineering teams using Metric Insights and Tableau. Maintained Metric Insights server on AWS EC2. • Diagnosed data quality issues and worked cross-functionally to improve logged data. • Promoted company-wide use of data by training product managers and engineers in SQL and Tableau. • Experienced with Amazon AWS: Redshift, EC2, S3, EMR. • Tools: Python, SQL, Spark, Tableau, Metric Insights, Splunk, Unix, Hadoop, Pig, Hive. From June 2014 to Present (1 year 7 months) Data Science Fellow @ • Created “Bursting the Bubble”, a web app that recommends news articles from outside one’s bubble, with a focus on currently polarizing issues in the United States. • Scraped data with Python from rt.ly (“bit.ly realtime”) containing currently trending articles and location distribution of clicks for each article. • Calculated item-based similarities using location distributions of clicks with Python. • Stored and retrieved data from MySQL. • Built frontend with Python Flask, Bootstrap and hosted web app on Amazon AWS. From January 2014 to February 2014 (2 months) Data Scientist @ • Competed in the Kaggle competition "See Click Predict Fix", placing in the top ten percent (43rd of 533 participants. Predicted community responses (views, votes, comments) to 311 maintenance requests submitted to city governments. • Competed in the Kaggle competition "Partly Sunny With a Chance of Hashtags", placing in the top quartile, (30th of 259 participants). Analyzed weather-related tweets to determine sentiment, time frame (past, present, or future), and type of weather. • Experienced in Python (numpy, scipy, scikit-learn), natural language processing, and machine learning algorithms such as linear regression, logistic regression, naive bayes and random forest. • Completed MOOC courses in machine learning and algorithms. From April 2013 to December 2013 (9 months) Patent Agent @ • Patent prosecution in the areas of cryptography, fraud detection, supply chain optimization, electronics, smartphones, integrated circuits, image sensors, image processing. • Advised clients on intellectual property matters. • Wrote patent applications that clearly communicated engineering innovations to a broad audience. From August 2008 to March 2013 (4 years 8 months) Ph.D. Dissertation Research in Applied Physics @ • Research in experimental condensed matter physics. • Investigated the electronic, structural, and magnetic properties of novel materials, focusing on Fermi surface nesting, lattice modulations, and charge density waves. • Collected and analyzed data using Matlab. From 2001 to 2008 (7 years) Doctor of Philosophy (Ph.D.), Applied Physics @ Stanford University From 2001 to 2008 Bachelor of Arts (B.A.), Physics @ University of California, Berkeley From 1997 to 2001 Nancy Ru is skilled in: Physics, Machine Learning, Patents, Materials Science, Electronics, Data Science, Patent Prosecution, Statistics, Python, Matlab, R&D, Data Analysis, MySQL, R, Data Mining