kkm24132 Goto Github PK

Kamal Mishra is an experienced Data and AI Leader having a good track record of digital transformations across industries. With more than 2 decades of experience, he brings a unique blend of strategic thinking, consultative approach, innovation dimension, data-driven decision making, people leadership, deep data science expertise coupled with industry experience with an open mindset to help build and scale businesses and outcomes for customers. He has industry experience in Banking and Financial Services, Insurance, Retail & CPG, and other industries using Machine Learning methods.

In the last 10~12 years, Kamal has focused on building products and solved business use cases using Data Science extensively. He is recognized globally as Certified Master Data Scientist from "The Open Group". His implementations span across the areas of Predictive Maintenance, Anomaly Detection, Classification, Forecasting, Clustering, Recommender Systems demonstrating real-life solutions creating impact. He has 2 patents, 4 defensive publications, 20+ published blogs on various publication forums through the medium, presented as a keynote speaker, acted as a moderator in CXO forums.

He holds a Bachelor in Computer Science from VSSUT, one year Senior Management Program from IIM Calcutta, one year CBA/AMPBA from Indian School of Business(affiliation with Kellogg, Wharton, LBS). He has also completed a Certification program on Predictive Analytics from IIT Hyderabad and completed a 6 month specialization in Reinforcement Learning from Indian Institute of Sciences, Bangalore.

Kamal has been focusing for all aspects of data, capitalising on the value of data - as a strategic asset including developing the overall data strategy, architecture, governance, creating and maintaining standards and best practices for data provisioning, integration and analysis.

ADVISORY and CONSULTING role contributions/outcomes:

• THOUGHT LEADERSHIP and INNOVATION
  • Patents, Publications and Blogs on Medium, Key note speaker sessions
  • Formulating Data Strategy, Driving Analytics Maturity Assessments for Customers
  • Help customers realize and capitalise on the value of data as a strategic asset
  • DRIVE Standards and Best Practices: CRISP-DM
  • Part of Data Science Board and Multiple times Data Science Profession Awards
• LEADERSHIP in Data Science
  • Building Practices, Mentoring and Coaching team
• CORE Segments for SUCCESS within the TEAM
  • Statistics and Probability
  • DV and EDA, Storytelling
  • Core ML areas
  • Applied Use Case themes
• Hands-on as Senior/Principal Data Scientist to develop and apply algorithmic models to derive insights, improve decision making, and automate processes.
• Leverage Data and AI to do automation, process transformation/process mining, digital transformation as a whole
• INDUSTRY based ANALYTICS practices and solutions
  • Insurance Analytics
  • BFS Analytics
  • Retail Analytics
  • Healthcare Analytics
  • Manufacturing Analytics
  • Oil and Gas Analytics etc.
• ML Deployment, MLOps and ML Observability
• AutoML dimensions, AutoEDA and how to leverage that to augment overall solutioning
• Responsible & Ethical AI

Contributions in Data Science and AI Thought Leadership / DigiTech Sector

• June 2022: KeyNote Speaker at ICIMSI 2022 - 2nd International Conference on IMSI and Certification of Appreciation - Twitter Ref on Value and Impact of Data Science and AI in Industry 4.0/5.0
• June 2021: Webinar on Trends around Data Science and focus on Responsible AI and The YouTube Link
• May 2021: Panel Discussion at Kaggle Days Meetup Delhi NCR Chapter on Data Science Ecosystem and Hiring Prospects in India
• Dec 2017: Analytics Masterclass - From Data to AI with Predictive Analytics

👋