Jhonathan David , MBA, Data Scientist|Data Analytics
Award-winning International Keynote Speaker / Senior Data Projects Leader/ Published Author Thought Leader/AI & Data Modeling Instructor
New York City, New York, United States
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Jhonathan David Shaikh is a remarkable professional making an impressive industry impact in banking & finance, healthcare, trade & exports and education. JD started his career in banking furthered his education by earning a Masters degree in Business Administration with a major in finance and global markets from the prestigious School of Business at Tulane University as well as becoming a Data Scientist from the New York School of Data Flatiron. Jhonathan completed a 15 year career track. In 2017, he became a Global Lead in Data Digital Transformation, and later an Executive Manager in Data Models & Database Reviews, at a global firm based New York City -He has research and published business applications of data sciences and AI in major media outlets. Today he is Chief Data Strategist for Xabios Data, a data analytics| business intelligence and data science firm optimizing businesses.
Notably, JD was featured on an international article for Grant Thornton International in Data Monetization. Hi research reached more than 15,000 followers - He has spoken at more than 13 conferences in the USA and LATAM- He founded a non-profit in LATAM that helps limited-resources entrepreneurs with micro-lending and educational resources. These recognitions, along with his Top 5 Awards in Leadership reflect his dedication and impact in industry and to people.
Jhon enjoyes being called to speak at the National and International Conferences to speak about real world experiences in the world of AI , Data Analytics & Data Science. Highlights include: the State of Mexico Business Association, in Mexico City, the Data Science Panels at the S&P 500 Building in Wall street for Data Science Salon, and at the The University of Houston College of Technology. Jhonathan makes complex topics, easy to understand to non-technical audiences, and makes technical audiences understand the world and language of business.
Experience for yourself as Jhonathan speaks to businesses leaders, management groups, professionals, scientist and students about real world applications of data sciences, from real life experiences. As he speaks the language of business and science, learned through his management of global teams in real-life projects, working with the leadership of top institutions, he shares his previous and ongoing client business experiences and what's happening in the world of data science.
His expertise topics include themes around : Data Science in a Business Context, Project Experiences, Data Modeling, and Financial Education.
Area of Expertise
Topics
Business Intelligence & Data Models In the Real World
Data models run our world in unthought of ways. From Banks making decisions about your financial future via investments or credit accounts, to Governments setting up laws and policies that impact thousands of people. All of these decisions are based on Data Models!
This Keynote introduces data models such as Large Language Models (i.e. Chat GPT), financial models, predictive models, and machine learning models. This session makes the complex world of models, easy to understand and apply from the words of a data models practioner!
𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The participant / attendee will...
•Recognize how data models and ai model work, to leverage both qualitative data and quantitative data in driving business decision-making
•Understand how data models work from the technical and programming perspective (for technical audiences)
•Understand how data models work from the intuitively and in real practical application (for non-technical audiences)
•Identify the different types of models are, and how they can be put to work for one’s benefit or business advantage
•Define the best practices for model building , driving business decisions with data along with the key words for each one (look, link, listen, leverage, and learn)
𝙆𝙀𝙔𝙒𝙊𝙍𝘿𝙎:
• Data Models
• Programming
• Advanced Stats
• Data dashboard
• Data narrative
𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
Professionals and Business executives, decision-makers, across various industries who are interested in harnessing the full potential of data-driven decision-making and understand data models. This session targets individuals responsible for strategic decision-making, data analysts, data scientists, business intelligence specialists, and executives seeking to improve their understanding on how data models work.
Attendees should be interested in details, grunt work, and intelligent and disciplined analysis.
This keynote is not for undisciplined minds, it is for those who can hold their concentration to understand how artificial intelligence and data models work from the inside out.
𝙇𝙞𝙣𝙠 𝙩𝙤 𝙎𝙖𝙢𝙥𝙡𝙚 𝙑𝙞𝙙𝙚𝙤𝙨: https://jhonathands.com/data-models-ai-real-world-applications/
𝙎𝙥𝙚𝙖𝙠𝙚𝙧 𝘿𝙚𝙢𝙤 𝙍𝙚𝙚𝙡: https://jhonathands.com/data-models-ai-real-world-applications/
Data Driven Future Workforce: Drivers, Skills and Rational with proven examples
With the rise of Artificial Intelligence, new career paths open for students and professionals of all ages. In this Keynote, the audience will learn from an experienced future driven executive in New York City, what are the careers of future precisely and demonstrate Market Demand for professionals in various industries.
𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The attendee/participant will...
• Identify the 10 most prominent careers of the future and where to find them
• Outline the requirements of each of these future careers
• Prepare themselves by acknowledging the skills and components needed for each of these future careers
• Think strategically about the value they will bring to the business world as early entrants in the job market
• Develop their own methodology for assessing the sustainability of the jobs they are applying to
• Take ownership of their own futures and know the resources available to them using the Internet of Things
𝙆𝙀𝙔𝙒𝙊𝙍𝘿𝙎:
• Professional Development
• Teaching, Coaching, Mentoring
• Learning Culture
• Employee Engagement
𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
Students, Human resources professionals, learning and development specialists, talent managers, team leaders, and anyone involved in designing and implementing professional development strategies within organizations.
This session is geared towards individuals who are responsible for nurturing talent, improving employee skills and performance, and enhancing employee loyalty and retention. Attendees should be interested in exploring different methodologies of teaching, coaching, and mentoring. The session is designed to provide practical insights and techniques to create effective learning experiences and foster a relational mindset that encourages cohesion and growth among employees.
𝙇𝙞𝙣𝙠𝙨 𝙩𝙤 𝙎𝙖𝙢𝙥𝙡𝙚 𝙑𝙞𝙙𝙚𝙤𝙨: https://jhonathands.com/careers-of-the-future/
𝙎𝙥𝙚𝙖𝙠𝙚𝙧 𝘿𝙚𝙢𝙤 𝙍𝙚𝙚𝙡: https://jhonathands.com/careers-of-the-future/
Monetize Data : Solutions To Optimize and Get Value from Data
Jim Barksdale, former Netscape CEO is attributed to saying “If we have data, let’s look at data. If all we have are opinions, let’s go with mine”. Today, data is key for decision making. But, how about if you take it a step further and monetize data? This session explains how data monetization can work for businesses.
𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The attendee/participant will...
• Determine how to improve one’s approach data and start thinking about data monetization
• Define the six components comprising the “DAT MONEY Matrix” (emphasis, on the six components to data monetization: data critical mass, data analytical tools, data purchase and sell points, and relationship).
• Capture the different data cycle functions and stages to data monetization: data preparation, data management, data usage, data analytics, data science, AI = data monetization
• Understand the role of Artificial Intelligence in Data Monetization
𝙆𝙀𝙔𝙒𝙊𝙍𝘿𝙎:
• Big Data
• Data Framework
• Artificial Intelligence
• Data Monetization
• Future of AI
𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
• Business leaders and decision-makers looking to leverage their data to get value from it
• Tech enthusiasts and students curious about the monetizing data
The Business of Data Science : Bridging Technical & Business Gaps
Step aboard the fascinating world of data science from its technical meaning to its business real world application. This Keynote bridges the gap between technical & business perspectives.
It explains the 4 pillars for understanding Data Science and AI applications in business. Making data science intuitively understandable for non-technical audiences, and going to Real World Applications and Business Impact for technical audiences. It covers Machine Learning Technicality and provides Business Applications Examples. It forms a foundational framework of harmony for the business of data science.
According to Gartner, 90%+ of Data Science projects fail. Some of the reasons they fail include, lack of executive leadership education and understanding of Data Science and AI. Or, because highly technical talented people fail to understand the business side of data science, and, highly prepared business people, fail to understand the technical side. An eye-opening keynote leaving audiences empowered to apply tested real-world applications.
𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The attendees/participants will...
•Gain a comprehensive understanding of what data science and AI really is
•Identify the components of the business of data science that will optimize business, increase sales and other functions
•Gain an understanding of data sciences and AI making it intuitively understandable, showing real world examples, understanding some of that data models technicalities involved, and how business profit can be made, empowering attendees to make informed decisions about application enterprise
-Acquire practical strategies for implementing a well-defined data transformation strategy and data science application strategy ensuring the right components for transformation are present by showing and sharing real-life business experiences deploying projects from New York Based business data science and transformation firms
𝙆𝙀𝙔𝙒𝙊𝙍𝘿𝙎:
* Data Science
* Business
*Transformation
* Artificial Intelligence
*Future of AI
𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
• Business leaders and decision-makers looking to leverage AI responsibly.
• Tech enthusiasts and students curious about the business implications of AI.
• The general public concerned about the potential impact of AI on their lives.
𝙇𝙞𝙣𝙠𝙨 𝙩𝙤 𝙎𝙖𝙢𝙥𝙡𝙚 𝙑𝙞𝙙𝙚𝙤𝙨: https://jhonathands.com/business-of-data-science/
𝙎𝙥𝙚𝙖𝙠𝙚𝙧 𝘿𝙚𝙢𝙤 𝙍𝙚𝙚𝙡: https://jhonathands.com/business-of-data-science/
AI Business Transformation : Business World Real Application Experiences
AI is here to stay. How do businesses start transforming their processes into a more AI and Data Driven enterprise? This keynote shares real world examples on Digital Transformation and Data Science Applications as seen from experience in New York City showing how Global Consulting Firms perform such transformation for business processes and business enterprises.
𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The attendee/participant will.....
• Recognize how transformation happens at a global level in global consulting
• Identify the different types of frameworks and delivery models used in AI transformation
• Define the best practices for building an AI savvy organization, and driving business decisions with data analytics to make that transformation real
𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
Professionals and Business executives, decision-makers, across various industries who are interested in harnessing the full potential of data-driven decision-making and understand how transformation happens. This session targets individuals responsible for strategic decision-making, and people seeking to improve their understanding on how transformation works.
Attendees should be interested in details, grunt work, and intelligent and disciplined analysis needed for successful transformation initiatives.
KEYWRDS:
• Transformation
• AI & Data Framework
• Business Transformation Methodologies
• Project Management Best Practices
• Data storytelling
• Data visualization
• Data insights
• Data dashboard
• Data narrative
𝙇𝙞𝙣𝙠 𝙩𝙤 𝙎𝙖𝙢𝙥𝙡𝙚 𝙑𝙞𝙙𝙚𝙤𝙨: https://jhonathands.com/ai-and-your-business-transformation/
𝙎𝙥𝙚𝙖𝙠𝙚𝙧 𝘿𝙚𝙢𝙤 𝙍𝙚𝙚𝙡: https://jhonathands.com/ai-and-your-business-transformation/
Financial Services Education : Simplifying the Financial System
This keynote, will empower people by enhancing their knowledge of the financial system that governs them, and gives them immediate resolution tools to access to fix and access credits, products, and services to manage their banking relationships smartly. The audience will learn from the voice of a former senior banking executive officer in commercial and investment banking working for major banks, based in New York City.
Financial Education is lacking in our society. Today, the general public and professional are in need of financial education as major events cause financial stress and challenge people’s personal finance. The events changing our world are rooted in key factors. The rise of Artificial Intelligence, which becoming more prevalent in people’s daily lives, also threatens the loss of traditional jobs and many people losing their income, not adapting to change. In addition, upcoming retirement thresholds will bring new wave of retirees, and the transition of wealth to generations that, in many cases, have not worked to proactively build what has been left to them, creates a separation of economic status and knowledge in our society.
𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The attendee / participant will…
• Gain a comprehensive understanding of the financial system, empowering attendees to build trust and make informed decisions.
• Elevate Financial System Perception and Understanding: Develop a keen ability to RECOGNIZE the characteristics of banks, how your money flows,
• Discover what you can do to access more money, more credit, better interest rates, better financial products
• Self-Empower Ownership: Seize OWNERSHIP of your banking and financial relationships
• Foster a forward-looking mindset that identifies opportunities that you can take from banking and financial services
𝙆𝙀𝙔𝙒𝙊𝙍𝘿𝙎:
• Financial Services Education
• Financial Products
• Credit Risk Management
• Investment Management
• Commercial Banking
𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
Forward-thinking audiences who want to understand the financial system from a real banker and leader’s perspective and take an active role in their banking relationship.
Whether you are an executive, or professional in an industry outside of banking, a manager, entrepreneur, or individual, this empowering keynote offers valuable insights and actionable strategies to navigate and use the financial system to your advantage. Simplifying complexities, attendees will gain the tools and inspiration to become catalysts for themselves and loved ones for a positive transformation, lasting impact financial endeavors moving forward
𝙇𝙞𝙣𝙠𝙨 𝙩𝙤 𝙎𝙖𝙢𝙥𝙡𝙚 𝙑𝙞𝙙𝙚𝙤𝙨:
𝙎𝙥𝙚𝙖𝙠𝙚𝙧 𝘿𝙚𝙢𝙤 𝙍𝙚𝙚𝙡:
Data Management Marathon
Data Science in a Business Context
Quality & Productivity Research Conference-Statistics, Deep Learning, & People Side of Process
How data project works from a business perspective. Teaching in the College of Engineering and Technology, real examples of proper administrative execution and administrative frameworks of successfull data projects
Machine Learning Trends in Banking & Finance
LLM's Data Panel Moderator
Revolutionizing Predictive Models with Generative AI
Revolutionizing Predictive Models with Generative AI-Driven Feature
https://www.linkedin.com/posts/data-science-connect_featureengineering-generativeai-datascience-activity-7175936229140508672-mZPH/
Data & Artificial Intelligence Transformation
Data, Machine Learning, and Business Transformation for Businesses in the State of Mexico
Data Applications -Risk Management Payments & Collections in the Post Pandemic Economy
Industry experts and business leaders discuss how to navigate the lending and collections landscape in the wake of the lockdown state of mind as consumers and businesses pave through the new normal.
Data & Digital Transformation
Overall explanation of how Digital Transformation happens at Banks. Explained example of Machine Learning Technology: Natural Language Processing.
Jhonathan David , MBA, Data Scientist|Data Analytics
Award-winning International Keynote Speaker / Senior Data Projects Leader/ Published Author Thought Leader/AI & Data Modeling Instructor
New York City, New York, United States
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