Products
Big Data
NLP Sentiment Analyzer Solution
This product is to analyze product reviews on E-Commerce websites of gigabyte scale data using parallelized Natural Language Processing (NLP) machine learning algorithms to analyze the sentiment of Amazon product reviews using the AWS elastic map reduce architecture. The fully automated object oriented code was implemented using pySpark machine learning and pySpark SQL libraries. Prior to building the big data solution, I did extensive data cleaning, feature engineering, data visualization, and built prototype models to investigate the underlying data using sci-kit learn and seaborn.
To know more about this product, get a detail from
https://github.com/arunkumarakkineni/AWS-EMR-AmazonReviews-NLP-Sentiment-Analysis
Email: contact@echelonservices.net
eSMA
School Management Application
Echelon Services, INC initiated the eSMA software product development to help the group of schools or individual owner for day to day operations of small and medium schools.
eSMA works on Cloud enabled web based/Mobile app computing and easy to implement and operate. It is centrally managed could base web application and customized to for any school to with unique identification.
The prominent features of this product are listed below.
Day to day operations like:
Student Enrollment
Account receivables (Payments, Notifications)
Performance reports
Online student progress and feedback reports to their parents
Network enabled for group of schools
Mobile/ Web enabled for interaction with parents
Administration module for licensing requirements
For more details email: contact@echelonservices.net