Personal Information
Organization / Workplace
San Francisco Bay Area United States
Occupation
Data Scientist
Industry
Education
About
I am a data scientist with experience in complex network analysis, machine learning and statistics. I am passionate about building useful and well liked products that change peoples lives for the good.
Areas
- complex network analysis, statistics of networks, network growth, network diffusion
- LSA, LDA, topic models, semantic analysis
- social choice theory, crowdsourcing
Keywords
python, R, graphlab, scikit-learn, pandas, networkx, machine learning, complex network analysis, ranking, git, continuous integration, docker
- Presentations
- Documents
- Infographics
Building a Recommendation Engine Using Diverse Features by Divyanshu Vats
Spark Summit
•
8 years ago
Matrix Factorization Techniques For Recommender Systems
Lei Guo
•
12 years ago
Holistic Email Optimization for Driving Growth and Engagement
Ravi Kiran Holur Vijay
•
7 years ago
Recommendation at Netflix Scale
Justin Basilico
•
10 years ago
Introducing DataFrames in Spark for Large Scale Data Science
Databricks
•
9 years ago
Lessons from Running Large Scale Spark Workloads
Databricks
•
9 years ago
Introduction to Graph Databases
Max De Marzi
•
11 years ago
Best practices for building and deploying predictive models over big data presentation
Kun Le
•
11 years ago
Analyzing Big Data at Twitter (Web 2.0 Expo NYC Sep 2010)
Kevin Weil
•
13 years ago
Hadoop and pig at twitter (oscon 2010)
Kevin Weil
•
13 years ago
Big Data in Real-Time at Twitter
nkallen
•
14 years ago
How Bad Products Happen to Good Startups
Charles Hudson
•
11 years ago
Everything Sucks
Dave McClure
•
10 years ago
Products are Hard
Judd Antin
•
11 years ago
J. d. power and associates automotive online marketing review
Social Media Marketing
•
13 years ago
Automotive Digital Advertising Facts Charts
Ancira Auto Group
•
14 years ago
Automotive Marketing Research Study by Dennis Galbraith
Social Media Marketing
•
13 years ago