Sunil Kappal
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Profile Information

Short Bio:
Senior professional with strong understanding of BI, Reporting, Data Visualization, Predictive Models

• Hands-on MicroStrategy Experience

• Well versed with Microstrategy Analytical Desktop

• Strong Teamwork & Interpersonal Skills

• Successfully deployed Project Frameworks based on Agile Methodology

• Successfully deployed business solutions in Operations, eBusiness, and Marketing/Sales
while working with/for fortune 500 companies in Insurance, Health Care industries

• Highly creative, a critical thinker with the ability to take complex situations or problems and translate into a solution that drives efficiency, self-service and a high level of business insight.

• Demonstrable track record in managing multiple Verticals and large workforces

• Well-versed with R Statistical Software & GUI packages (Rattle & R Commander) and Project Management Methods and Techniques

• Strengths include big picture focus while developing strategic business solutions which can include: mission statements, value propositions, critical success factors, statements of work, project management, ROI, gap and risk analysis, process re-engineering, facilitated functional design meeting and documenting requirements, use cases, change management, system redesign/architecture, system and application development, QA, UAT, implementation and mentoring and coaching.

Expertise: Six Sigma, Green Belt Certified, COPC, (MBA Marketing), ISO, ISMS, Lean Trained & Certified, Agile Expert (SCRUM), Change Management Expert, DFD, SDLC, Feasibility Study, Certified Project Management Professional, Speech Analytics, Text Analytics, Content Analytics, Predictive Modeling
Job Title:
Service Delivery Leader Analytics
Job Function:
Data Analyst
Number of employees:
1.000 to 4.999
Business services
LinkedIn Profile:
Contributing, Networking, Finding a new position, New venture

Sunil Kappal's Blog

Microsoft Azure ML Studio – A Tutorial on How to Create a Churn Model in No Time

Posted on July 1, 2019 at 3:02am 0 Comments

In this article, we will see how we can implement a simple customer churn model that is built by using Azure Machine Learning studio. This article will give us a starting point to understand how Azure ML based models are created and deployed in the most easy to understand manner. The experiment (Azure ML Model terminology) that I will refer to is based on a dummy customer data and is readily available on Azure ML Studio AI Gallery.

Understanding the Churn…


R Squared Value Demystified

Posted on July 11, 2018 at 3:35am 0 Comments

As we all know in today’s world of quick results and insights nobody wants to spend time in understanding the core concepts of certain statistical terms while performing analytical routine. One statistical term that is talked a lot but known very less in terms of its mechanics is R Squared statistics a.k.a. coefficient of determination. This statistics helps to measure the closeness of the data to the fitted line of regression.

It is also worth mentioning that by squaring the…


“Multicollinearity” a Problem or an Opportunity?

Posted on March 6, 2017 at 10:00am 0 Comments

Multicollinearity (Collinearity) is not a new term especially when dealing with multiple regression models. This phenomenon of relationship in between one response variable with the set of predictor variables also include models like classification and regression trees as well as neural networks. Collinearity is infamously famous for inflating the variance of at least one estimated regression coefficient, which can cause the model to predict erroneously and in a business setup it can have an…


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