Stat Modeller is a platform that helps clients to convert data into decision-making.

Basic Information

Stat Modeller is a platform that aims to solve the major challenge of how to utilize available unstructured data into decision-making with the right anlaytical tools and techniques. Stat Modeller also provides training and consultancy services related to the data science area such as R, Python, SPSS, Minitab, Power BI, Tableau, and Excel. They are also providing training and consultancy services related to Operational Excellence concepts such as Six Sigma, Lean, 5-S and Kaizen. In research projects, researchers are collecting data about their research project and those data need to be analyzed with correct tools and techniques. The platform helps them to select the correct tools and techniques. They also collaborate with youth and conduct training programs, certification courses, and workshops for the faculties and students. See more

Legal Name

:

Stat Modeller

Headquarters

:

Vadodara, Gujarat, India

Business Model

:

B2C,

B2B

Founding Date

:

2019

No. of Employees

:

<10

Core Team

:
1.

Hiren Kakkad

Founder & CEO

Timeline
2019
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| Company Incorporation
We started this company with the idea to bridge the gap between Data Collection and Data Analysis.
| Started Generating Revenue
We have completed first training at Department of Economics, MKGB University, Bhavnagar.
| Started Generating Revenue
We have completed first training at Department of Statistics, Sardar Patel University on Python.
true

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Target Market

B2B

We provide training and consultancy services related to data science and operational excellence concepts in the industries to boost up their productivity, quality and efficiency.

Client Segment

:

AgriTech, Manufacturing, Technology

Target Companies

:

Medium Enterprise, Large Enterprise

B2C

In the Era of Data Economy, we are providing training to the people who wants to build their career in the field of Data Science.

User Age

:

18 to 25, 26 to 34, 35 to 45

User Income

:

Lower-middle Income, Upper-middle Income, High Income