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Nathan Lande Phones & Addresses

  • Berkeley, CA
  • San Francisco, CA
  • Arlington, VA
  • 4470 1St Pl S, Arlington, VA 22204

Work

Company: Facebook Apr 2020 Position: Data science manager

Education

School / High School: University of Chicago 2011

Skills

Data Analysis • Sql • Analytics • Sas • Statistical Modeling • Data Science • Python • Java • Oracle • Big Data • Quantitative Analytics • Statistics • Pl/Sql • R • Machine Learning • Ios Development • Hive • Javascript • Spark • Quantitative Finance • Data Mining • Oracle Spatial • Objective C • Php • Fortran • Real Estate Economics • Gis Modeling • Gis • Hadoop • Econometric Modeling • Financial Analysis • Linear Regression • Price Forecasting • Regression Models • Predictive Modeling • Sea Kayaking • Economic Modeling • Xcode • Apache Pig • Mapreduce • Tableau • Spotfire • Consumer Analytics • Scikit Learn • Lambda Architecture • Time Series Analysis • Pandas • Predictive Analytics

Ranks

Certificate: Edx Verified Certificate For Scalable Machine Learning

Interests

Data Driven National Security • Computational Finance • Pro Bono Consulting • Data Driven Health Care • Physics • Modeling • Security • Machine Learning

Industries

Internet

Resumes

Resumes

Nathan Lande Photo 1

Data Science Manager

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Location:
2015 Parker St, Berkeley, CA 94710
Industry:
Internet
Work:
Facebook
Data Science Manager

First. Oct 1, 2015 - Oct 2019
Advisor

Twitter Oct 1, 2015 - Oct 2019
Senior Data Science Manager @ Twitter

Twitter Mar 7, 2018 - May 2019
Data Science Manager

Rally Health Mar 2016 - Mar 2018
Head of Data Science
Education:
University of Chicago 2011
University of Chicago 2008 - 2010
St. John's College 2007
Bachelors, Bachelor of Arts
Parsons School of Design - the New School
University of Chicago;Physics;2008 – 2010;
Skills:
Data Analysis
Sql
Analytics
Sas
Statistical Modeling
Data Science
Python
Java
Oracle
Big Data
Quantitative Analytics
Statistics
Pl/Sql
R
Machine Learning
Ios Development
Hive
Javascript
Spark
Quantitative Finance
Data Mining
Oracle Spatial
Objective C
Php
Fortran
Real Estate Economics
Gis Modeling
Gis
Hadoop
Econometric Modeling
Financial Analysis
Linear Regression
Price Forecasting
Regression Models
Predictive Modeling
Sea Kayaking
Economic Modeling
Xcode
Apache Pig
Mapreduce
Tableau
Spotfire
Consumer Analytics
Scikit Learn
Lambda Architecture
Time Series Analysis
Pandas
Predictive Analytics
Interests:
Data Driven National Security
Computational Finance
Pro Bono Consulting
Data Driven Health Care
Physics
Modeling
Security
Machine Learning
Certifications:
Edx Verified Certificate For Scalable Machine Learning
Edx Verified Certificate For Scalable Machine Learning (Link)

Publications

Us Patents

Photograph Initiated Appraisal Process And Application

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US Patent:
20140074733, Mar 13, 2014
Filed:
Sep 13, 2012
Appl. No.:
13/614705
Inventors:
Nathan Pieter Den Herder - Falls Church VA, US
John Brevard Sigman - McLean VA, US
Nathan Lande - Arlington VA, US
Eric Rosenblatt - Derwood MD, US
Assignee:
Fannie Mae - Washington DC
International Classification:
G06Q 99/00
US Classification:
705306
Abstract:
The present invention relates to photograph initiated property assessment. In one example, an electronic device performs a photograph initiated property assessment by accessing a photographic assessment itinerary that includes a plurality of target portions for the subject property and a set of image capture requirements for each of the plurality of target portions. Further, when performing the initiated property assessment the electronic device prompts a plurality of image capture requests according to the photographic assessment itinerary while displaying a menu that permits the addition of information to the set of image captures.

System And Method For Automated Data Discrepancy Analysis

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US Patent:
20140074731, Mar 13, 2014
Filed:
Sep 13, 2012
Appl. No.:
13/614661
Inventors:
Nathan Lande - Arlington VA, US
Franklin Carroll - Catonsville MD, US
Yong Chen - Potomac MD, US
Benjamin Hoffman - Washington DC, US
Eric Rosenblatt - Derwood MD, US
Assignee:
Fannie Mae - Washington DC
International Classification:
G06Q 99/00
US Classification:
705306
Abstract:
A method for automatic detection of inconsistencies in an appraisal by extracting data from the appraisal to create component data arranged into a predetermined set of categories and selecting a control identifier to trigger a generation of comparison data. Further, through a comparison between the comparison data and the component data, inconsistencies within the appraisal are identified.

Location Driven Appraisal Data Extraction, Past Appraisal And Value Comparison And Comparable Property Finder

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US Patent:
20140074732, Mar 13, 2014
Filed:
Sep 13, 2012
Appl. No.:
13/614686
Inventors:
Nathan P. Den Herder - Falls Church VA, US
John Brevard Sigman - McLean VA, US
Nathan Lande - Arlington VA, US
Eric Rosenblatt - Derwood MD, US
Assignee:
Fannie Mae - Washington DC
International Classification:
G06Q 99/00
US Classification:
705306
Abstract:
A method for location triggered home evaluation for an electronic device that determines a location of the electronic device and identifies a subject property associated with the location. Further, a set of appraisal information for the subject property that includes a listing of comparable properties determined to be appropriate comparable properties for the subject property is requested.
Nathan A Lande from Berkeley, CA, age ~42 Get Report