Scott Nelson

16 Abonné

Data scientist / econometrician with experience developing, deploying and supporting analytic/statistical solutions for clients to help them unlock business value from their data and gain competitive advantage in their industries. Solution frameworks emphasize tying analytical insight to action, and evolution through continuous testing/learning. Jack-of-all-trades, comfortable bootstrapping/spearheading development initiatives, communicating results with clients and managing technical teams. Specialities: ROI measurement, Bayesian hierarchical models, graphical models, large scale simultaneous inference, design of experiments, marketing mix models, online/offline attribution, link trac...

big data power gas energy simulation monte carlo

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Scott Nelson

Présentations

Monte carlo simulation for energy risk management

A Targeted Marketing Analytical Modeling Stack

J’aime

When Micromobility Attacks

Appraiser: How Airbnb Generates Complex Models in Spark for Demand Prediction-(Hector Yee, Airbnb)

Dynamic Community Detection for Large-scale e-Commerce data with Spark Streaming and GraphX-(Ming Huang, Taobao)

Finagle @ SoundCloud

A Brief Talk On High-Performing Organisations

Hadoop Summit 2015: Performance Optimization at Scale, Lessons Learned at Twitter (Alex Levenson)

Energy Risk Magazines ETRM Software Rankings 2013

CIKM 2013 Tutorial: Real-time Bidding: A New Frontier of Computational Advertising Research

Optimizing marketing campaigns using experimental designs

Sac slideshow

The Entrepreneurial Methodology: How engineers can harness the madness in a non-technical start-up

Filtering From the Firehose: Real Time Social Media Streaming

Ruby and R

Rise of the scientific database

Analytics Maturity Model