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Analytic Director Resume Example

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Jessica Claire
  • Montgomery Street, San Francisco, CA 94105
  • Home: (555) 432-1000
  • Cell:
  • resumesample@example.com
Summary
Seasoned data scientist with >7 years of industry experience in machine learning, statistical modeling and experimental design.
Skills
  • Languages/System: R(Expert), SAS(Expert), SQL(Expert), Python, Hive, Scala, Unix/Linux
  • Platform/Warehousing: Hadoop/Spark, Kafka, HDFS/NoSQL, RDBMS(Teradata)
Experience
Analytic Director, 04/2014 to
Bayada Home Health CareCumberland, NJ,
  • Responsible for HSB's core product (equipment breakdown) loss modeling and location risk scoring model to support over $400 million dollar portfolio.
  • Instructor of various Munich Re Group's ML training classes and represent HSB as the principal data scientist with internal/external partners and senior leadership team.
  • Provide technical leadership of IoT analytic projects and help develop data streaming/ML pipelines for real-time sensor anomaly detection models.
Associate, 01/2013 to Current
Metlife, Inc.San Francisco, CA,
  • Developed and implemented Travelers's first scoring models for customer segmentation based on customer lifetime value and market penetration metrics.
  • The segmentation has been used by senior managment team to differentiate product offerings and marketing efforts.
  • Spearheaded Travelers's analytic capabilities of marketing media mix optimization and performed port- folio simulation & optimization to guide hundred-million dollars of spend allocation decisions.
  • Built channel preference model using advanced dimension reduction techniques that identifies underlying drivers of prospects' channel propensity of agency, online and call center to support Personal Insurance's multi-channel optimizations.
Senior Research Consultant, 09/2011 to 12/2012
Livingston IntlPort Huron, MI,
  • Built and implemented direct mail response development model from scratch.
  • The model has been used for targeting prospects and calibrating response projection as a key component of monthly mail selection operations.
  • Built web advertising targeting model using advanced machine learning techniques (stochastic gradient boosting tree) based on billions of impressions.
  • Developed statistical methodologies including sampling, test design and analysis to quantify the impact of digital marketing on offline channels.
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Research Consultant, 09/2010 to 09/2011
Travelers InsuranceCity, STATE,
  • Designed various experiments (A/B tests, multivariate tests, sequential tests) for Personal Insurance's digital marketing and web quoting application.
  • The result increased the web conversion rate by 10% and was presented to the CEO & Chairman.
  • Collaborated with IT to design data warehousing solutions for collecting data from web users' navigation records.
  • Developed infrastructure strategies to integreate analytic solutions into the database creation.
Education and Training
Ph.D: Statistics, Expected in August 2010
University of Connecticut - ,
GPA:
Statistics 3.9
B.A: Economics Statistics (Honored), Expected in June 2005
Shanghai University of Finance - ,
GPA:
Economics Statistics (Honored) 3.9
Activities and Honors
Publication (first author):"A test for self-exciting clustering mechanism" Statistics & Probability Letters, 2011, vol. 81, issue 10, pages 1541-1546
Skills
advertising, agency, Big Data, call center, conversion, database creation, Data Warehousing, direct mail, drivers, experiments, Insurance, Latin, machine learning, managment, marketing, market, Excel, mail, navigation, optimization, SAS, simulation, SQL, Teradata, Unix

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Resume Overview

School Attended
  • University of Connecticut
  • Shanghai University of Finance
Job Titles Held:
  • Analytic Director
  • Associate
  • Senior Research Consultant
  • Research Consultant
Degrees
  • Ph.D
  • B.A