Pricing Models

I am a PhD in Operations research with 12+ years of experience in developing and deploying Optimisation Constrained Solutions in Pricing domain for various organisations and institutions. I have developed the entire Price Optimization solution for GAP Inc. which is still in use for all their US stores. I am the right most person for the job. I am also working as Lead AI Scientist at a top -tier US retail company where these kinds of problems are my regular work.

I am committed to offer top notch services. I will deliver the work in time with strict adherence to deadlines. let's do this.I am good at Analytics, Python, Statistics and Statistical Analysis Regards

I am a data science instructor and I am also a professional engineer. I have also published data science courses online(Kindly check my portfolio) I expect the curriculum will cover the following : 1)Asses the data for quality and tidiness issues 2) clean the data 3) visualization the data for insights 4)Data normalization if we have different features. 5) Create train and test datasets and apply SVMs and encoding categorical variables. 6) Create the prediction model using different algorithms like k neighbors , decision trees and other regression algorithms and choose the best model as per our evaluation criteria : either AUC or accuracy of prediction..etc I will use : Python pandas numpy , matplotlib and Scikit-learn libraries and also Facebook prophet which is a great tool for pricing predictions