Deepanshu Tyagi

Deepanshu Tyagi

New York City Metropolitan Area
7K followers 500+ connections

About

Proven leader in architecting scalable blockchain solutions, specializing in secure…

Activity

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Experience

  • Fidelity Investments Graphic

    Fidelity Investments

    New York, New York, United States

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    New York, United States

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    Nyc

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    Portland, Oregon Metropolitan Area

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    Portland, Oregon

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    Miami/Fort Lauderdale Area, Eugene

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    Greater New York City Area

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    Noida, Uttar Pradesh, India

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    Delhi Area, India

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    Chennai Area, India

Education

Licenses & Certifications

Volunteer Experience

Courses

  • Cognitive Computing (A)

    BIA-810

  • Data Analysis and Visualization Techniques for Decision making (A-)

    EM622

  • Decision and Risk Analysis (A)

    SYS660

  • Foundations of Data Science (A)

    FE582

  • Foundations of Database Design (A)

    FE-513

  • Informatics for Engineering Management (A)

    EM624

  • Knowledge Discovery and Data mining (A)

    EM-623

  • Multivariate Data Analysis

    BIA-652

Projects

  • Profiling Bank Customers (PG Project #3 for Data Analysis using CRISP-DM)

     Analyzed data from a Portuguese Banking Institution using Python and R-Studio, customers were profiled with Product Subscription (Categorical) as target variable using machine learning techniques.
     Applied Principal component analysis and Forward selection methodology for Feature engineering and compared results obtained from Logistic Regression, LDA, QDA, SVM, ANN techniques for accuracy, Relative importance of attributes and performed Sensitivity Analysis on attributes for each algorithm

     Analyzed data from a Portuguese Banking Institution using Python and R-Studio, customers were profiled with Product Subscription (Categorical) as target variable using machine learning techniques.
     Applied Principal component analysis and Forward selection methodology for Feature engineering and compared results obtained from Logistic Regression, LDA, QDA, SVM, ANN techniques for accuracy, Relative importance of attributes and performed Sensitivity Analysis on attributes for each algorithm

    See project
  • Risk Analysis

    Developed Mathematical Model using Multi-Attribute Utility Theory(MAUT) and Monte Carlo Simulation for Decision and Risk Analysis in case of Extreme events.
    Normal and Pareto Distributions were used to model uncertainty as the Project involved Extreme RIsk Events.
    Final Product was a Decision Support System(DSS) with an interface in Excel in which user could enter inputs variables to choose from best available Alternatives.


    See project
  • Poster (PG Project #4 for Data Visualization and Network Analysis using CRISP-DM) April 2017

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     Analyzed huge Dataset on Global Terrorism using R studio and Tableau, Built Artificial Neural Networks for the Descriptive text under certain attributes in Dataset which provided tremendous Insights on the active groups , assault types and global locations using Gephi and Python
     Final product is a poster that shows underlying factors that led to rise of terrorism as a Global phenomenon

    See project
  • Intelligent academic advisor (PG Project #1-Reserach Project for School of Business)

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     Designed and Deployed Intelligent Academic Advisor for Stevens School of Business using IBM Watson’s Cognitive computing platform IBM Bluemix, The Intelligent Academic Advisor is a Watson- based question answering (QA) cognitive computing system for assisting incoming students
     The system utilizes advanced natural language processing, information retrieval, automated reasoning, and machine learning (Apache Solr) Algorithm to provide answers to Academic program related questions

Honors & Awards

  • Masters's Fellowship Award

    Stevens Institute of technology

Test Scores

  • Toefl

    Score: 102

Languages

  • Hindi

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  • english

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