Nasir M. Uddin, Phd, Duke Mba

Nasir M. Uddin, Phd, Duke Mba Email and Phone Number

Head of Data Engineering and Data Science | Gen AI (LLM) | Healthcare AI @ Gennet.AI
Florida, United States
Nasir M. Uddin, Phd, Duke Mba's Location
Greater Tampa Bay Area, United States, United States
Nasir M. Uddin, Phd, Duke Mba's Contact Details

Nasir M. Uddin, Phd, Duke Mba personal email

About Nasir M. Uddin, Phd, Duke Mba

I am a Business Outcome-focused thought, contextual, and empathetic leader. My expertise comprises of AI/ML/Generative AI (LLM), Advanced Data Analytics / Data Science & Data Engineering, Commercial Strategy, and Technical Product Development and Management. I develop and nurture world-class talented and highly motivated diverse teams in an inspiring manner towards a common purpose. I am well-known for delivering Customer-centric and innovative technology (i.e., AI/ML/Gen AI/Big Data/Cloud)-driven impactful Strategy, Products and Solutions to ensure quality business outcomes. My passion is to constantly seek new ways to drive business values through meaningful engagements and work towards improving the organizational status-quo by bringing meaningful and actionable data insights into quality decisioning at the speed of business. Core competencies include: • Strategic thinking, planning & execution;• Behavioral Customer, Market and Competitive Intelligence and Insights to shape futuristic business strategy;• Building partnerships & alliances: bringing all stakeholders towards a common goal of ensuring practical values to win the Consumer Hearts;• Bringing cutting-edge intelligent Digital products/services/experiences to life for Customers; • Advanced analytics, data strategy, data quality, and data governance;• Engineering optimization with AI/ML/NLP/Big Data/Cloud technologies; • Inspirational leadership in acquiring, developing and retaining diverse talented teams; • Developing customer and business-focused intelligent Digital Products and Solutions that delight customers, anticipate and meet evolving customer/market needs wrt functionality, scalability, reliability and implementation in a margin enhancing way; • Creating Disruptive Market Opportunities with innovative products and services - that ensure sustainable profitability, growth and market differentiation through the development and execution of Business Strategy with Advanced Analytics/AI/ML, Engineering & Technology, and Behavioral Economics.

Nasir M. Uddin, Phd, Duke Mba's Current Company Details
Gennet.AI

Gennet.Ai

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Head of Data Engineering and Data Science | Gen AI (LLM) | Healthcare AI
Florida, United States
Website:
gennet.ai
Employees:
2
Nasir M. Uddin, Phd, Duke Mba Work Experience Details
  • Gennet.Ai
    Head Of Data Engineering And Data Science | Gen Ai (Llm) | Healthcare Ai
    Gennet.Ai
    Florida, United States
  • Gennet.Ai
    Head Of Data Engineering & Data Science | Gen Ai (Llm) | Ai In Healthcare
    Gennet.Ai 2022 - Present
    Applications of Data Science & Data Engineering, AI/ML/ Generative AI (LLM) and Life Sciences Strategy to Drive Healthcare Innovations in - Clinical & Operational Efficiency, Computational Clinical Oncology, Precision Medicine, and Digital Health …
  • Phenom
    Executive Director Of Product | Ai/Ml | Data & Analytics | Decision Intelligence
    Phenom 2022 - 2023
    Ambler, Pa, Us
  • T-Mobile
    Director, Commercial Strategy & Advanced Data Analytics | Ai/Ml | Digital Product
    T-Mobile 2019 - 2022
    Bellevue, Wa, Us
    Led Inspirational Data & Analytics-driven Commercial Strategy and Digital Product Initiatives towards Increasing Customer Engagement and Ensuring Strategic Quality Business Decisions for Increasingly better CX (i.e., Perceived Value), and Organically Increased Margin and Growth. Created Intelligent and Meaningful/Actionable/Transparent/Unbiased, Customer-centric, Data Analytics / Data Science & Engineering-driven and Science-backed Strategy Solutions and Digital Products & Services. Leveraged the Combination of Business, Behavioral Science/Economics and Science/Engineering/Technology (AI/ML/NLP/Big Data/Cloud/Deep Learning/Reinforcement Learning, and Decision Simulation/Optimization) towards Identifying Growth Opportunities and Creating Innovative Products that Delight Customers in a Margin Enhancing Way.
  • The Depository Trust & Clearing Corporation (Dtcc)
    Sr. Director & Head Of Data Science/ Data Engineering & Applied Ai R&D - Digital Product
    The Depository Trust & Clearing Corporation (Dtcc) Feb 2017 - Feb 2020
    Jersey City, Nj, Us
    Developed Advanced Data & Analytics (i.e., Data Science & Engineering- AI/ML/Big Data/Cloud) capabilities from ground-up , saving >$50M YoY in CapEx and OpEx. Built the advanced data analytics infrastructure and teams that created exceptional and impactful values across the enterprise. Designed, developed, and delivered real-time AI/ML-based Digital Products; reduced capital market risk > $500M. • Developed and executed enterprise-wide AI-driven data and analytics strategy (in collaboration with executives and cross-departmental leadership) from scratch, resulting in a data-driven decision-making culture that improved business process efficiency >10x • Established an Enterprise Center of Excellence for Intelligent Solutions by combining capabilities across different technological verticals (i.e., AI/ML, BI, Big Data, and Cloud)• Demonstrated significant business value creation, applied AI capability development, and thought enterprise data analytics leadership.
  • The Depository Trust & Clearing Corporation (Dtcc)
    Director & Chief Data Scientist, Data Science & Data Engineering
    The Depository Trust & Clearing Corporation (Dtcc) Sep 2014 - Feb 2017
    Jersey City, Nj, Us
  • The Depository Trust & Clearing Corporation (Dtcc)
    Head Data Scientist
    The Depository Trust & Clearing Corporation (Dtcc) Jan 2014 - Aug 2014
    Jersey City, Nj, Us
  • University Of South Florida Muma College Of Business
    Adjunct Professor
    University Of South Florida Muma College Of Business Aug 2017 - 2020
    Tampa, Fl, Us
    Taught Graduate level courses
  • Maryville University Online
    Business Analytics Faculty
    Maryville University Online Aug 2017 - 2020
    St. Louis, Missouri , Us
    Developed and Taught courses for Masters in Business Data Analytics program.
  • Independent Project Analysis
    Research Scientist / Analyst - Business Strategy & Analytics Consultant
    Independent Project Analysis Dec 2012 - Sep 2013
    Ashburn, Va, Us
    Effective way of conducting analytical research (through processing/ collecting/ exploring data and developing statistical/machine learning models) and communicating the research results to IPA’s clients towards enabling them with more effective use of their capitals through project portfolio optimization, project management (PM), and leadership.• Led successful development of offshore capital project evaluation and planning through intuitive dynamic real-time NPV simulation product, saving >$50M • Spearheaded two ~$5-10B offshore oil-drilling capital projects ensuring quality business decisions (i.e., capital resource allocation for optimum business outcome) through rigorous big data analytics solutions.
  • Advanced Research Project Agency - Energy (Arpa-E) Through Booz Allen Hamilton
    Associate Consultant- R&D Strategy And Analytics
    Advanced Research Project Agency - Energy (Arpa-E) Through Booz Allen Hamilton Aug 2011 - Nov 2012
    Mclean, Va, Us
    Client management, R&D project management, data (scientific and budget) analytics for better decisions, attention to details, cross-departmental coordination, quantitative project milestones setting, and report preparation/ presentation. Provided effective and efficient supports to DOE management in making better decisions on its R&D grant applications/new program initiation and R&D project management through extensive data-driven research and analysis;• Charted a new high-impact Tech-to-Market university-industry R&D collaboration program in renewable energy to develop revolutionary, cost-effective ways to store thermal energy• Yielded several startups (e.g., AMBRI) out of the university scientific research labs to the commercial market.
  • Nist
    Nrc (National Research Council) Postdoctoral Fellow
    Nist Mar 2010 - Aug 2011
    Gaithersburg, Md, Us
    Skills Gained: Strong analytical and quantitative research, collaboration, development of hypotheses, design of experiments, analysis of data and effective way to conduct research works (research methodology). Developed analytical and statistical models to predict the characteristics of the molecular systems (Protein/nanoparticles): Extensive Programming with Python/Java/C++ to analyze and visualize the model predictions; Developed numerical models to analyze the chemical kinetics of thermal decomposition of polymer nanocomposites based on reactive molecular dynamics and DFT methods; Quantified the nanoparticles released from CNT/CNF/Clay reinforced foam and fabric using ICP, UV-Vis, and Raman Spectroscopy (simulated the product life-cycle from the end-user perspective).
  • Drexel University
    Instructor
    Drexel University 2009 - 2010
    Philadelphia, Pennsylvania, Us
  • The College Of New Jersey
    Adjunct Faculty
    The College Of New Jersey 2009 - 2009
    Ewing, Nj, Us
  • Rowan University
    Adjunct Faculty
    Rowan University 2008 - 2009
    Glassboro, Nj, Us
  • Act - Nasa Jpl, Air Force Research Lab
    Research And Development Engineer - Consultant
    Act - Nasa Jpl, Air Force Research Lab Mar 2007 - Sep 2008
    Skills Gained: Data & Analytics, project management, effective proposal writing, and client management.• Successfully completed the Phase I of a DOD SBIR Grant and won Phase II as a principal investigator;• Provided engineering design and data analysis support using computational tools; • Developed a computational model for hot gas impingement conditions by the jet engine exhaust from the Short Take Off and Vertical Landing aircrafts;• Led a $600,00 NASA JPL program developing a refrigeration system for Lunar application;• Led a $100,000 DOD program developing a thermal test setup and a model for BURNSIM;• Developed mechanical engineering designs using computational analysis;• Developed concepts into actual solutions for different thermal and fluid systems through data analysis, design, prototyping and testing;• Developed an automated data acquisition system to control speed, temperature, and time for a system;• Prepared excellent quarterly reports and presented to the clients (NASA JPL/AFRL); • Effectively managed two R&D projects and maintained task scheduling, progress tracking, resource planning and coordination, supplier management and customer service – saved about 12% of the project budget.

Nasir M. Uddin, Phd, Duke Mba Skills

Data Mining Machine Learning R Statistics Numerical Analysis Data Science And Big Data Technologies Business Intelligence Sentiment Analysis Linux Analytics Leadership Predictive/prescriptive Analytics Computational Cybersecurity Sas Java Apache Spark Information Security Data Science Risk Modeling Data Product Design And Development Streaming Analytics Artificial Intelligence Cloud Computing Strategy Financial Risk Management Business Strategy Putting Ai Into Work Thought Leadership Artificial Intelligence Data And Analytics Strategy Digital Business Transformation Strategic Planning Partnerships And Allainaces Data Driven Decision Making Cognitive Business Transformation

Nasir M. Uddin, Phd, Duke Mba Education Details

  • Duke University - The Fuqua School Of Business
    Duke University - The Fuqua School Of Business
    Health Sector Management And Strategy
  • University Of California, Berkeley, Haas School Of Business
    University Of California, Berkeley, Haas School Of Business
    Digital Transformation
  • Drexel University
    Drexel University
    Modeling And Simulation
  • The George Washington University
    The George Washington University
    Data Analytics For Business Decisions
  • Drexel University
    Drexel University
    Modeling And Simulation

Frequently Asked Questions about Nasir M. Uddin, Phd, Duke Mba

What company does Nasir M. Uddin, Phd, Duke Mba work for?

Nasir M. Uddin, Phd, Duke Mba works for Gennet.ai

What is Nasir M. Uddin, Phd, Duke Mba's role at the current company?

Nasir M. Uddin, Phd, Duke Mba's current role is Head of Data Engineering and Data Science | Gen AI (LLM) | Healthcare AI.

What is Nasir M. Uddin, Phd, Duke Mba's email address?

Nasir M. Uddin, Phd, Duke Mba's email address is na****@****ile.com

What schools did Nasir M. Uddin, Phd, Duke Mba attend?

Nasir M. Uddin, Phd, Duke Mba attended Duke University - The Fuqua School Of Business, University Of California, Berkeley, Haas School Of Business, Drexel University, The George Washington University, Drexel University.

What skills is Nasir M. Uddin, Phd, Duke Mba known for?

Nasir M. Uddin, Phd, Duke Mba has skills like Data Mining, Machine Learning, R, Statistics, Numerical Analysis, Data Science And Big Data Technologies, Business Intelligence, Sentiment Analysis, Linux, Analytics Leadership, Predictive/prescriptive Analytics, Computational Cybersecurity.

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