Supply Chain Forecasting and Planning - Analytic Systems Team

• Created and upgraded components for a model interpretability and monitoring package, which provide a range of metrics about an ML model’s health

• Constructed a time series component for the SRI (Somers’ D ratio) metric for model monitoring

• Handled missing values and worked on categorical variable mapping for the Population Stability

Index (PSI) metric for model monitoring

• Wrote Jupyter Notebooks to display the added functionality and tested all the code using PyTest

• Created a Scalable PDF and Image based intelligent search service using Machine Learning

• Gathered insight on PDF data by extracting important Summary Keywords using NLP models

• Created a proprietary wrapper component for the underlying Summary Processor and implemented it in the backend search api workflow

• Combined an OCR processor into the backend workflow to extract text from the PDFs

• Implemented a REACT UI to display search service and added additional file-upload and filtering functionality

• Tested all code using PyTest and React-Testing-Library

• Developed a PHP webpage to monitor key development stack metrics

• Enabled SSL integration and Google Authentication to secure the webpage

• Used Python's PyJwt library to generate secure API headers to obtain metrics

• Programmed a cron to fetch metrics using API query written in SQL