Kevin Layer Email & Phone Number

Fort Worth, Texas, Us

- Developing and maintaining off-lease vehicles pricing models for the US and Canada + Proposing and implementing adjustments in a changing market environment + Maintaining and editing SAS codes and a decision flow in SAS Viya + Communicating with the different stakeholders for approval of updates and refreshes + Designing experiments and analyzing the results to validate proposed changes- Improved the distribution model of returned vehicles from distribution centers to auctions + Working on python code to formulate the CPLEX problem + Responding to feedback from business partners to improve solutions and reduce manual adjustments- Creating monitoring reports to track price accuracy- Evaluated AI powered inspection tools +Established settings for the experiment +Wrote Python codes to clean descriptions and compare inspections results from the vendors

College Station, Tx, Us

Productivity and Efficiency Measurement Laboratory, TAMU (Lab Website: productivity.engr.tamu.edu)- Built dataset of hospitals total inpatients procedures using Stata: from millions of hospital inpatient records classifying procedures into 4 categories and determining number of procedures performed at hospital level- Improved non-parametric shape-constrained regression technique, implemented in Matlab, first tested in simulation settings and finally applied to US Hospitals industry- Performed productivity analysis of industry: + Writing scripts in Matlab to use estimated function + Obtaining insights on most productive scale size and marginal costs of hospitals industry + Proposing recommendations on specialization and size of hospitals in US- Wrote R scripts to test existing estimation techniques using shape-constrained penalized B-splines- Created and developed new estimators in Matlab using B-splines and shape constraints for productivity analysis

Houston, Texas, Us

- Designed or participated in development of several Excel tools using macros in VBA, including: + Inventory Optimization Tool to forecast cost and lead time using reports from ERP system + Other tools used to create supplier performance cards, provide analysis of queues, or better handle expediting status- Prepared data and jupyter notebook with graphics and statistical analysis in Python using packages such as pandas, scikitlearn for machine learning techniques, matplotlib, seaborn for visualization to help HSE team prioritize actions- Used Levenshtein distance and tf-idf for Natural Language Processing (NLP) to connect similar items descriptions for a cost analysis project- Led 3 students team; providing guidance and assigning tasks- Communicated and worked closely with company representatives to make sure tools answer needs and to achieve deadlines on projects

Doctor Of Philosophy - Phd, Industrial Engineering

Bachelor Of Science (And French Degree: Diplôme D'Ingénieur), Industrial And Mechanical Engineering

Classes Préparatoires (Pcsi-Pc), Mathematics, Physics, Chemistry

Baccalauréat S (French High School Diploma)