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- Company:
- IBM
- Job Title:
- Senior Data Scientist and AI Leader
- Seniority:
- Technical
- Job Function:
- Data Science, Machine Learning, AI, Deep Learning
- Industry:
- BFSI, Retail, Healthcare, Oil & Gas
- 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
- LinkedIn Profile:
- http://www.linkedin.com/in/kamalmishra07
- Interests:
- Contributing, Networking, Finding a new position
Kamala Kanta Mishra's Blog
Selecting Forecasting Methods in Data Science
Posted on February 13, 2017 at 11:30pm 1 Comment 9 Likes
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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