Scott Nelson
2 SlideShares 16 Followers 47 Folgens
Personal Information
Unternehmen/Arbeitsplatz
Greater Denver Area United States
Beruf
Data Scientist at Twitter
Branche
Technology / Software / Internet
Info
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...
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big data power gas energy simulation monte carlo
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Präsentationen

(2)

Monte carlo simulation for energy risk management

Vor 11 Jahren • 1221 Aufrufe

A Targeted Marketing Analytical Modeling Stack

Vor 10 Jahren • 543 Aufrufe

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(15)
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When Micromobility Attacks

Horace Dediu • Vor 5 Jahren

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

Spark Summit • Vor 8 Jahren

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

Spark Summit • Vor 8 Jahren

Finagle @ SoundCloud

Phil Calçado • Vor 8 Jahren

A Brief Talk On High-Performing Organisations

Phil Calçado • Vor 8 Jahren

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

Alex Levenson • Vor 8 Jahren

Energy Risk Magazines ETRM Software Rankings 2013

Allegro Development • Vor 11 Jahren

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

Shuai Yuan • Vor 10 Jahren

Optimizing marketing campaigns using experimental designs

Pankaj Sharma • Vor 10 Jahren

Sac slideshow

Luke Stefurak • Vor 10 Jahren

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

Cloud Elements • Vor 10 Jahren

Filtering From the Firehose: Real Time Social Media Streaming

Cloud Elements • Vor 10 Jahren

Ruby and R

Sau Sheong Chang • Vor 13 Jahren

Rise of the scientific database

John De Goes • Vor 11 Jahren

Analytics Maturity Model

John De Goes • Vor 11 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Greater Denver Area United States
Beruf
Data Scientist at Twitter
Branche
Technology / Software / Internet
Info
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...
Tags
big data power gas energy simulation monte carlo
Mehr anzeigen