register for our upcoming webinar

Six Sigma and its relevance to Data Science Project


via Zoom Webinar on Friday, 24 January 2020 at 08.00pm IST

Six Sigma vs Data Science

Six sigma is more a business philosophy rather than a discipline. Typical job titles include Quality Manager, Project Manager, Business Analyst and many more. Promoted by Motorola and GE a few decades ago, it originated in manufacturing and spread other industries. Examples industries include healthcare, life sciences, financial services, and energy. Six Sigma is used for quality control and to optimize business processes in large corporations.

Data science is an interdisciplinary field to extract knowledge or insights from data in various forms. In contrast to Six Sigma, Data science is typically applied to “Big Data”. It employs techniques not only from statistics but also computer science, in particular from the subdomains of machine learning and databases.

What is the Agenda?

  1. What is Six Sigma control limits all about?
  2. How to identify process maturity?
  3. Importance of data validation for data science projects? Confusion Matrix

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Time & Date: Friday, 24 January 2020 at 08.00pm IST

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Know more about your Webinar Host

Dr. Prakash Sharma

Global Startup Ecosystem - Ambassador at International Startup Ecosystem

Work Experience: 27 yrs 6 mos

2011 to 2018
Have been building multiple algorithms to predict investor group dynamics, startup brand trends.. and identifying various news alerts through venture intelligence initiative as part of PhD
Designed the entire framework for automating publishing printing process, and analyzed the information and NLP applicability for the process to minimize human interventions… Conducting free sessions on data science using a mix of various tools like R/Python to build awareness.

Presently researching on Robotic Process Automation

1998 to 2003: Architected data warehouse platform to integrate data from multiple tools as well as generate source code… Designed machine learning algorithms to capture profile data and understand group dynamism within employees, worked on email data analytics.

1995-1998: Was instrumental in conceiving Remote Monitoring projects to capture data from various weather information system.. Was monitoring large Automation Projects for Plants, Worked on enterprise search optimization to intelligently capture failure points in Plant Manufacturing Solutions to study engine performances. Worked on an algorithm to capture data from aerodromes for facilitating Aerodrome Mgmt System. Performed Statistical analysis on machine data.

1992-1995: Was involved in data collection, analysis of village data for watershed development, which included studying lineaments for Deccan Plateau using a mix of Space Data, GPS Data, and Survey Data. Mapping the same & predicting locations for watershed treatments. Had conducted training on Ethnography, Library Information System… Transitioned library information systems for WALMI, DIRD and optimized search indexes using PASCAL. Installed Weather Information Systems in remote areas Performed Statistical Analysis using a software program as well as Statistical tools. Built cost prediction model on the basis of data logs from networks using Novel Netware/ Unix.