Yen-Lin (Pinsker) Lin, Phd.

Yen-Lin (Pinsker) Lin, Phd. Email and Phone Number

Principal, Data Science and Marketing Analytics @ Discover Financial Services
Northbrook, IL, US
Yen-Lin (Pinsker) Lin, Phd.'s Location
Northbrook, Illinois, United States, United States
Yen-Lin (Pinsker) Lin, Phd.'s Contact Details

Yen-Lin (Pinsker) Lin, Phd. work email

Yen-Lin (Pinsker) Lin, Phd. personal email

About Yen-Lin (Pinsker) Lin, Phd.

A dedicated and results-oriented technical professional experienced in data-driven exploratory analysis, predictive modeling, machine learning, and data mining to solve business problems. Demonstrated expertise in multi-scale computer simulations and biophysical chemistry with 11 published first author papers. Proven skills in leveraging interdisciplinary science knowledge and scripting experience to solve challenging problems and provide data-driven solutions for business optimization. Strong ability to work independently and as part of a team to develop collaborations. Proven skills in paper writing, oral presentation and communication.Continuously seeking opportunities in data science and data analytics.Relevant Skills: • Proficient in R, SPSS Statistics/Modeler, LINUX/UNIX, shell scripts, Looker, SQL• Some experience in Python, Hive, Impala, Matlab, Octave, PerlRelevant Coursework: • Machine Learning, Time Series and Forecasting, Advanced Data Mining, Financial Analytics, Real Time Analytics, Markets’ Analysis, Linear/Non-linear Modeling, Database Design, Data VisualizationGithub:github.com/linpylGoogle Scholar: scholar.google.com/citations?user=7yeRrUEAAAAJ&hl=enProfessional Skills in R, Python, SPSS Statistics/Modeler, LINUX/UNIX, shell scripts, SQL Some Experience in Hive,

Yen-Lin (Pinsker) Lin, Phd.'s Current Company Details
Discover Financial Services

Discover Financial Services

View
Principal, Data Science and Marketing Analytics
Northbrook, IL, US
Website:
discover.com
Employees:
21509
Yen-Lin (Pinsker) Lin, Phd. Work Experience Details
  • Discover Financial Services
    Principal, Data Science And Marketing Analytics
    Discover Financial Services
    Northbrook, Il, Us
  • Discover Financial Services
    Principal, Data Science & Marketing Analytics
    Discover Financial Services Jun 2019 - Present
    Riverwoods, Il, Us
    Focused on card acquisition by leveraging emerging technologies to improve profitable growth for the card business. Key focus areas are:• Designed and developed optimization tool to provide optimal budget reallocation recommendations based on the unified modeling solutions that provides insights in making feature budget allocation decisions• Focused on developing top-down Marketing Mixed models (MMM) with Bayesian framework for various products to measure the campaign effectiveness• Constructed a unified marketing solution by integrating the multi-touch attribution results to the Marketing mixed models with to provide an overall top-down and bottom-up view to get insights into the effectiveness of individual sub-channels • Provided visualization and summarize insights from models and delivered presentations to high level leadership
  • Iri
    Consultant Iii. Media Analytics Modeler Consultant, Data Science
    Iri Oct 2016 - Jun 2019
    Chicago, Il, Us
    • Designed, developed, and implemented end-to-end solution through scalable programming language to measure and report Lift calculations (TV Lift, Digital Lift, Cross Media) to major CPG companies• Formulated machine learning based and statistical modeling methodologies to develop Lift products to measure ROAS of different marketing media channels
  • Avant
    Data Scientist
    Avant Jan 2016 - Aug 2016
    Chicago, Il, Us
    Avant is an online lending platform that is changing the way consumers obtain credit by lowering the costs and barriers of borrowing. Utilizing big data and machine-learning algorithms, the company offers a unique and highly customized approach to streamlined credit options• Delivered prepayment risk solutions for issued loans that estimates the level of early payoffs using machine learning algorithm. By targeting the top 1% of loans ordered by score, 20% of the prepayments that are predicted to occur on the entire loan book is eliminated• Provided debt collection models to score the collection rate of all 1DPD accounts on daily basis that is integrated into the operations to increase dollars collected• Improved default model for returning customers using machine learning algorithms that achieved 13% lift in AUC metric
  • University Of Chicago Graham School
    Capstone Project Team Member
    University Of Chicago Graham School Mar 2015 - Dec 2015
    • Work as a data scientist in a team of 3 researchers on understanding impact of marketing activities project for HAVI GLOBAL SOLUTIONS• Estimate and forecast the impact of marketing and pricing activities on sales using Bayesian hierarchical linear model
  • The University Of Chicago
    Postdoctoral Researcher
    The University Of Chicago 2010 - Jan 2014
    Chicago, Il, Us
    • Google Scholar Citation: https://scholar.google.com/citations?user=7yeRrUEAAAAJ&hl=en• Successfully addressed the potency and selectivity of anti-cancer drugs by studying protein kinases and kinase inhibitors. The findings have been published in two top US journals (JACS and PNAS).• Applied the above knowledge to understand the potency of the second-generation anti-cancer drugs. The results of this work has just been accepted and published in one of the top US journals (JACS).(supervised by Prof. Benoit Roux)
  • University Of Minnesota
    Research Assistant
    University Of Minnesota 2008 - 2010
    Minneapolis And St. Paul, Minnesota, Us
    • Conducted QM/MM calculations and the kinetic isotope effects in addressing the function of Dopa decarboxylase, a protein related to Parkinson’s disease. The results have been published on three US and European journals.• Made great progress on identifying the activation of rhodopsin that tunes human vision. The results have been published in Journal of Computational Chemistry.• Demonstrated the solvatochromic shift of the n -> pi transition of acetone in the entire range from steam vapor to supercritical condition to ambient water fluid. The results has been published and cited over 40 times to date.(supervised by Prof. Jiali Gao)
  • University Of Minnesota
    Teaching Assistant
    University Of Minnesota 2007 - 2008
    Minneapolis And St. Paul, Minnesota, Us
    • Delivered lectures, review sessions and exams for Physical Chemistry II
  • University Of Minnesota
    Laboratory Teaching Assistant
    University Of Minnesota 2006 - 2007
    Minneapolis And St. Paul, Minnesota, Us
    • Prepared and taught Chemical Principles II lab sections to 20 undergraduates

Yen-Lin (Pinsker) Lin, Phd. Skills

Molecular Biology Cell Culture Fortran Science Physics Scientific Computing Statistics Biochemistry Medicinal Chemistry Statistical Modeling R Data Analysis Simulations Research Python Spss Computational Chemistry Chemistry C++ Biophysics Data Mining

Yen-Lin (Pinsker) Lin, Phd. Education Details

  • University Of Chicago
    University Of Chicago
    Analytics
  • University Of Minnesota
    University Of Minnesota
    Scientific Computation

Frequently Asked Questions about Yen-Lin (Pinsker) Lin, Phd.

What company does Yen-Lin (Pinsker) Lin, Phd. work for?

Yen-Lin (Pinsker) Lin, Phd. works for Discover Financial Services

What is Yen-Lin (Pinsker) Lin, Phd.'s role at the current company?

Yen-Lin (Pinsker) Lin, Phd.'s current role is Principal, Data Science and Marketing Analytics.

What is Yen-Lin (Pinsker) Lin, Phd.'s email address?

Yen-Lin (Pinsker) Lin, Phd.'s email address is li****@****ail.com

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Yen-Lin (Pinsker) Lin, Phd.'s direct phone number is +177370*****

What schools did Yen-Lin (Pinsker) Lin, Phd. attend?

Yen-Lin (Pinsker) Lin, Phd. attended University Of Chicago, University Of Minnesota.

What skills is Yen-Lin (Pinsker) Lin, Phd. known for?

Yen-Lin (Pinsker) Lin, Phd. has skills like Molecular Biology, Cell Culture, Fortran, Science, Physics, Scientific Computing, Statistics, Biochemistry, Medicinal Chemistry, Statistical Modeling, R, Data Analysis.

Who are Yen-Lin (Pinsker) Lin, Phd.'s colleagues?

Yen-Lin (Pinsker) Lin, Phd.'s colleagues are Jiyoung Choi, Alexa Gozar, Allicia Lussert, Madison Crockett, Shianne Mills, Melisa Butera, Samriddhi Lamichhane.

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