Michelle Orton

About Michelle Orton

Around 10 years of experience as a Python Developer, proficient coder in multiple…

Experience

1. Full Stack Python Developer

   Apple

   Jan 2018 — Present

   Developed a real-time cloud-based data ingestion system that enabled all subsidiaries to submit and report operations data to their Headquarters Developed Web Services and REST for sending and receiving data from the external interface in CSV, Excel, and JSON format Utilized Python to develop the backend processes of the application Designed RESTful APIs utilizing Python Flask to integrate the backend of the cloud application to AngularJS Implemented REST API’s in Python using micro-framework like Flask with SQL Alchemy in the backend for management of data center resources Developed backend Python algorithms to parse multiple data files and prepare data for validation Manipulated and validated subsidiary data using Python, Regular Expression (Regex), and Pandas Created stored procedure functions for data loading, complex inserts, and updates in PostgreSQL Developed Python scripts to automate the deployments to the development, QA, and production environments Utilized Git as a version control tool in the project Python packages used included Flask, RegEx, os, sys, logging, JSON, ConfigParser Utilized pre-trained Word Embedding layer plus bidirectional LSTM layer. The output layer with 28 types of phrase intents mentioned in replies for a job pitch. Build skills database indexed against clusters of job designations by using crawlers and scrapping. Calculated skills based on occurring frequencies and requirements in the job description dataset. Implemented a Neural Network for identifying education details from resume files and regex based module for extraction of tenures and timelines. Used resume analytics and persona building for search suggestions. Worked on NoSQL databases including Cassandra, MongoDB and checked the data quality scripts. Used Python, Spark SQL to transfer tables into Spark for faster processing of data. Prediction and auto-completion of job descriptions using text mining models.