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Kamala Kanta Mishra
  • Male
  • Bengaluru, India
  • India
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Kamala Kanta Mishra's Page

Profile Information

Short Bio
More than 20 years of experience as a Business Leader in Consulting, Strategy, Product development in AI, Data Science, Machine Learning and Cognitive space.

Academia - a) Bachelor in Computer Science Engineering; b) MBA / 1 yr Senior Management Program from IIM Calcutta, India; c) Masters in Business Analytics (1 yr CBA program) from ISB, Hyderabad, India

Focus - Predictive Analytics, Data Strategy, End to end ML pipeline implementation, Interpretability in ML, Deep Learning

Problem solving in Use Cases (not exhaustive list) - Customer Churn prediction, Customer Micro Segmentation, Equipment Sales Forecasting, Device Level Failure Prediction, Predictive maintenance, Patient dose frequency and insights analysis and recommendation in specialty pharamcy business, Market Basket Analysis, Vandalism Analytics, Risk and regulatory analytics, Computer Vision

Hands on Programming - R, Python, SQL, IBM Watson Suite

Industry - BFSI, Retail, Healthcare, Others
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/kamalmishra07
Field of Expertise
Data Science, Machine Learning, AI, Deep Learning
Professional Status
Technical
Years of Experience:
21
Your Company:
IBM
Industry:
BFSI, Retail, Healthcare, Oil & Gas
Your Job Title:
Senior Data Scientist and AI Leader
How did you find out about DataScienceCentral?
Online sources
Interests:
Contributing, Networking, Finding a new position
What is your Favorite Data Mining or Analytical Website?
http://www.datasciencecentral.com
What Other Analytical Website do you Recommend?
http://www.kaggle.com

Kamala Kanta Mishra's Blog

Selecting Forecasting Methods in Data Science

Posted on February 13, 2017 at 11:30pm 1 Comment

We are dealing with plethora of data and information in the world today and expectation is to predict and forecast how we can gain competitive advantage based on the information that we have, to act in advance. We look forward to define and furnish various methods based on our gut feel, past historical data, simple mathematical averages, and many more to get an incredibly precise prediction. With advanced analytics and data science, we develop “always-on” forecasting…

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