Omid Elmi

About Omid Elmi

I am a data scientist and empirical researcher with a Ph.D. in Management Science…

Experience

1. Data Scientist

   PNC

   Jun 2022 — Present

   Performed predictive analytics on credit card applications and performances. Utilized parametric models such as regression analysis as well as non-parametric approaches such as KNN to predict the financial performance of credit card applicants to increase the utilization of approved applications.• Performed quantitative analysis on auto loan applications to quantify the factors that affect the approval of applications as well as booking.• Investigated utilization of home equity line of credits by methods such as RFM analysis and dynamic time warping (DTW).• Investigated the causal impact of CC approval decision (i.e, rejected vs. approved) on demand deposit accounts (DDA) using methodologies such as propensity score matching.• Performed predictive analytics to forecast default decisions as well as default amounts for credit card accounts.• Collaborated with cross-functional teams to develop various models such as Markov model of multi-touch attribution problem to incorporate quantity outcomes (i.e, applying) as well as quality outcomes (i.e, generated profit). Visualized the results using Tableau.• Performed quantitative analysis and developed machine learning models such as XGBoost to model the churn decision of households based on household characteristics to improve retention.• Performed quantitative analysis to calculate customer lifetime value (CLV) of household and considered household characteristics to incorporate heterogeneity to fine-tune the CLV calculations.

Education

• Sharif University of Technology

  Master of Business Administration (MBA)

  2012 — 2015

• The University of Texas at Dallas

  Doctor of Philosophy - PhD

  2016 — 2022

• Sharif University of Technology

  Bachelor of Science (BS)

  2006 — 2012

Skills

• Programming
• Teaching
• Matlab
• Linear Algebra
• Marketing Management
• Pascal
• Market Research
• Minitab
• Game Theory
• Statistics
• C++
• Operations Research
• Cohort Analysis
• Data Analysis
• Statistica
• R
• Spss
• Generational Marketing
• Maxqda
• Marketing
• Business Ethics
• Course Design
• Data Mining
• Marketing Research
• Operations Management
• Research
• Microsoft Office
• Qualitative Research