Experience – Kiran Paudel

Teaching Experience

Developed and Validated Several Trust Investment Models for the Hancock Whitney Bank. The Models include Long-Short, Value, Growth, SmallCap, and Microcap.
Developed and Validated Churn Model
Used ‘R’ programming to develop the models.
Used AI algorithms – Neural Network, Random Forest, SVM, GB, and Logistic Regressions, k-mean Clustering for Model Analysis and Return Predictions.
Validated Moodys RiskCalc Model using STATA and SAS

Project TDATA (Big Data Project for Financial and Marketing Application): This project involved the development and validation of a marketing model based on big data technologies. I mostly worked as a model developer/analyst. The project uses heavy statistics, including PCA, propensity score analysis, online product recommendation likelihood analysis, etc.
Multiple Data-warehouse & Financial BI Reporting Projects: My primary role was to develop, test, and maintain BI reports using SAP Business Objects. The reports were meant to aid business management in their marketing and financial decisions (Monthly, Quarterly, and Annual Reports). The job involved substantial data analysis, SQL programming, and functional technical documentation.
Worked as a team lead and managed a team of offshore software programmers, data analysts, and quality assurance analysts: I was involved in mentoring and coaching of analytic tools and programming techniques to junior analysts.

Worked as SAS programmer to model loan borrower default prediction. Used various statistical and econometrics concepts to develop the models

Worked in the wealth management division as a system analyst, mostly in the business intelligence area.
Developed ad-hoc and canned reports using equity trading data.