Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Data Scientist
Secteur d’activité
Education
À propos
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
- Présentations
- Documents
- Infographies
Building a Recommendation Engine Using Diverse Features by Divyanshu Vats
Spark Summit
•
il y a 8 ans
Matrix Factorization Techniques For Recommender Systems
Lei Guo
•
il y a 12 ans
Holistic Email Optimization for Driving Growth and Engagement
Ravi Kiran Holur Vijay
•
il y a 8 ans
Recommendation at Netflix Scale
Justin Basilico
•
il y a 10 ans
Introducing DataFrames in Spark for Large Scale Data Science
Databricks
•
il y a 9 ans
Lessons from Running Large Scale Spark Workloads
Databricks
•
il y a 9 ans
Introduction to Graph Databases
Max De Marzi
•
il y a 12 ans
Best practices for building and deploying predictive models over big data presentation
Kun Le
•
il y a 11 ans
Analyzing Big Data at Twitter (Web 2.0 Expo NYC Sep 2010)
Kevin Weil
•
il y a 13 ans
Hadoop and pig at twitter (oscon 2010)
Kevin Weil
•
il y a 13 ans
Big Data in Real-Time at Twitter
nkallen
•
il y a 14 ans
How Bad Products Happen to Good Startups
Charles Hudson
•
il y a 11 ans
Everything Sucks
Dave McClure
•
il y a 11 ans
Products are Hard
Judd Antin
•
il y a 11 ans
J. d. power and associates automotive online marketing review
Social Media Marketing
•
il y a 13 ans
Automotive Digital Advertising Facts Charts
Ancira Auto Group
•
il y a 14 ans
Automotive Marketing Research Study by Dennis Galbraith
Social Media Marketing
•
il y a 13 ans