Are you an inquisitive person? Do you have the enthusiasm and willingness to learn new topics? Do you want to be a Data Scientist and make pots of money? Do you like to know the future job prospects for Data Science? Download my recent (12th January, 2021) presentation titled “Analytics – Future Trend and Job Prospects”.

1. Analytics – Future Trends
and Job Prospects
Umesh R. Hodeghatta, Ph.D,
01-12-2021

2. Outline
About me
Analytics Terms/Language
Career Prospects
How to Prepare yourself
Future Trends
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3. Umesh R. Hodeghatta, Ph.D
• More than 25 years of work experience.
• Held senior management positions (full time) at McAfee, Cisco Systems, and AT&T
Bell Laboratories, USA
• AI/Data Science Consultant
• Experience as a faculty at Kent State University, Raritan valley College, NJ, and
Xavier Institute of Management.
• Master’s degree in EE from Oklahoma State University, USA
• Ph.D. from the Indian Institute of Technology (IIT), Kharagpur with a specialization in
Machine Learning and NLP.
• Web: http://www.mytechnospeak.com
• Video: https://www.brighttalk.com/channel/16781/
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4. AI/ML Projects worked/involved
• HR Analytics
• Job market data analytics
• Predicting employment prospects
• Software Company
• Predicting Online Gaming User behaviour
• Big Wireless Mobile company (Seattle WA)
• AI Chatbots
• Healthcare
• Predicting frauds – Insurance Claims,
Providers, Clinics, etc
• Big Electric Company
• Predicting possible outages due to severe
weather
• Cable company,
• Predicting possible equipment failures or
repairs demands
• Oil and Gas Industry – Atlanta, GA
• Predicting/optimize drilling strategy, where
to drill for oils
• Electronics Retail Store
• Online selling strategy
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5. AI/ML Projects worked/involved
• Wireless Mobile company, NJ, USA
• Reading Billing related and
predict frauds
• Real estate Broker Firm
• Real estate broker ranking
• Pharmaceutical company
• Optimizing drug manufacturing
process
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• Credit Union Bank
• Predicting users who can take loan
• Marketing Survey
• Predicting Effectiveness of marketing
surveys
• Financial Institution
• Predicting Data center Server failures

6. Analytics Language

7. AI/Analytics Market
Every CEO is keen to leverage new technology
• Amount of BUZZ
• Ahead of game
• Investors
Data and Computing
• Availability of Data
• Advancement in Computing power
• Storage, GPUs, etc.
• Development of techniques for training deep neural networks on large dataset
• Big Data Ecosystem
Big Question
• How to Succeed?
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8. Confusing Terms
• Business Analytics
• Data Analytics
• Data Science
• Machine Learning
• AI
• Big Data
• Big Data Analytics
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9. Categories of
Analytics
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
9
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10. Career Opportunities
Analytics

11. Analytics Jobs
• 72363 Data Analytics jobs available
in United States on Indeed.com
• 69,000+Results for "Analytics Jobs in United
States"(7,212 new)
Business Analytics Specialist. Sr
Data Analytics Analyst
• 14357 available Google Analytics jobs on
Dice.com.
• The average salary for a Data Scientist is
$122579 per year in United States.
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12. Job family Job Roles and Titles Industry Expectations/Skills Required
Analysis
Data Quality Consultant
Data Analyst
Data Engineer
1) Data capture, data cleaning
1) Database Management Concepts
Business Intelligence Analyst
BI Developer
1) Data Visualization Techniques
2) Reporting
3) Data Analysis
Statistician 1) Statistical Analysis
Data Scientist
Data Science Specialist
1) Data Analytics and Database Management Concepts
2) Data Visualization Techniques
Architecture
Data Engineer
1) Database Management Concepts
2) Big data modeling and management systems
3) Big Data Ecosystem Management - Hadoop, Spark, etc
Data Architect
Solution Architect
Big Data Engineer
Administration & Governance
Database Administrator 1) Database Management Concepts
2) Database Security
3) Data Governance
4) Data Cleaning
Engineering Machine Learning Engineer
Machine Learning Scientist
Machine Learning Coder
1) Predictive Modeling and Analytics
2) Machine Learning Algortihms and Modeling
3) Applied AI
4) Deep Learning1/12/2021 12

13. Techniques, Methodology and Tools
Preparing Yourself

14. Preparing for the Job market
Fundamental Skills
• Knowledge of Data, Statistics and mathematics
• Machine Learning Algorithms
Resources
• Data Platforms
• Tools and Technologies
• Providing AI/ML Solutions
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15. Analytics/Data
Science
Program
Management
•Developing courses
•HR Analytics
•Social Media Marketing
•CRM
Opportunity to Collaborate with other departments
•HR, Social Science,
•Mathematics, Biology
•Marketing, Finance, Business
Analytics Application in All Domains/Department
•Curriculum Development
•Data and Projects
•Research collaboration
•Hands-on support
•(Pharmaceutical Industries, Medical Sciences, IT and Technology,
Manufacturing, Sports)
Industry Collaboration
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16. Open Source
R, Python
TensorFlow, Keras, Theano, Caffe
PyTorch, H2O, Rapidminer, KNIME,
Scala, Kafka, Spark,
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17. Gartner Magic
Quadrant
• SAS
• IBM
• Microsoft Azure
• Amazon
• Google
• NVIDIA
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18. Pre-requisite for learning
Analytics/Data Science
• Attitude to learn and work hard
• Basic Mathematics
• Linear Algebra
• Statistics
• Programming Skills
• Not required but helps
• Easy to work your assignments
• Collaboration with others
• Education Degree
• Computer skills/education helps
• Company may have requirement
• Communication Skills
• Expressing your Ideas, results, outputs,
understanding requirements
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19. Future Trends
Analytics Trends

20. Abundance of
Opportunities
• Almost every industry sector
• Design & Development
• Manufacturing
• Logistics
• Health Care
• Insurance
• Information Technology, Communications
• Energy
• Marketing & Sales
• Human Resources
• Governance
• Etc. Etc.
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21. Future of AI/ML
• Big Data Analytics
• Abundance of Data
• Computing Power
• Vast application across industries
• Manufacturing process to self driving car
• Huge potential for integration with Internet of Things appliances
• Drives detection and prediction across industries
• Potential for new specialized “data driven” jobs across industries
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22. 2021 Analytics Trends
• Predictive And Prescriptive Analytics Tools.
• Real-time Data And Analytics.
• Collaborative Business Intelligence.
• Data Discovery/Visualization.
• Artificial Intelligence and Deep learning.
• Data Security and Privacy (Regulations)
Source: Gartner.com
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23. Summary
Abundance of Opportunities
Analytics can be applied to any
domain/sector
Fundamentals play an important role
More Tools you know, more the
prospects
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24. Q & A
• Web: http://www.businessanlyticsr.com
• Email: umesh@mytechnospeak.com
• Phone: +1 408 757 0093
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