Science Technology Automation Robotics

Track My Sona

Process

FAP - Frequently Arising Problem

Identifying the part

Bringing accountability in change in part

Identifying root cause analysis

Identifying lack of skill

Identifying faulty product

HR
appraisal

FAP - Frequently Arising Problem

Identifying the part

Brining accountability in change in part

Identifying root cause analysis

Identifying lack of skill

Identifying faulty product

HR appraisal

Track everything you want to improve

The simple act of tracking something brings awareness and intention that wouldn’t be there without it. ” What gets measured gets done.”

Case Study

Client : Sona College of Technology

Project : Track My Sona

Problem statement :  Difficulty in tracking and maintaining assets, and problem identification.
Solutions given : Built and delivered the first ORP (Operational Resource Planning) Mobile Application Platform to track asset and to maintain inventory with pinpoint problem identification through a unique QR Code.
Achieved Savings of 15 Lakhs on 45,000 investment

Clients

Partners

Important Links

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Sona Star Innovation Pvt Ltd

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(+91) 94425 92144

CORE COMPETENCY AREA

Data Mining
Big Data Analytics
IOT
Machine Learning
Compiler Design and Optimization
Data Structure
Algorithm Analysis
Bioinformatics
Computational Intelligence

Achievements

  • Secretary for CSI Salem Chapter 
  • Nomination Committee member for CSI Salem Chapter 
  • The Best Women Engineer Award by the Institution of Engineers.
  • Selected for 2010 Who’s who in the world, conducted by Marquis, USA.
  • Selected as a potential candidate to represent professional community in the 2010 edition of Cambridge Who’s who.
  • Data Analytics and Solutions Lab (Catalyzed & Supported by SEED Division, DST, New Delhi) – Set up and analyzing experimental case studies related to Breast Cancer Datasets in real-time.
  • Apple Lab for undergraduate students to develop ios app development projects, Collaborated internationally and developing app for English Learning Children through Artificial Intelligence and Machine Learning.