Ankit Agarwal

Ankit Agarwal

United States
17K followers 500+ connections

About

NexGen Generative AI , Agentic AI (Artificial Intelligence) Leader and Advisor with well…

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Activity

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Experience

  • FTV Capital Graphic

    FTV Capital

    Frisco, Texas, United States

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    United States

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    Dallas–Fort Worth metroplex, Texas, United States

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    Texas, United States

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    United States

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    United States

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    Dallas/Fort Worth Area

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    Hyderabad Area, India

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    Noida Area, India

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    Noida Area, India

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    Dallas/Fort Worth Area

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    Noida Area, India

Education

Licenses & Certifications

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Volunteer Experience

  • American Corporate Partners (ACP) Graphic

    Mentor for Veterans

    American Corporate Partners (ACP)

    - Present 6 years 3 months

    Social Services

    Ankit is associated with ACP Mentor Program to help Veterans on their path towards fulfilling, long-term careers, whether the veteran is job searching or newly employed.

Publications

  • Netflix Database Migration: Oracle to DB2 UDB

    Organizations often face the challenge of moving from one database to another given the enormous challenges involved in database migration. However there are tools ate methods available to expedite such migrations without any loss of data and this paper targets to bring-out one such method of migrating database from Oracle (12c) to IBM DB2 UDB 10.5 .

    The idea is to simulate migration of sample data from Oracle to DB2 and some tools used to make this migration feasible. I also plan to…

    Organizations often face the challenge of moving from one database to another given the enormous challenges involved in database migration. However there are tools ate methods available to expedite such migrations without any loss of data and this paper targets to bring-out one such method of migrating database from Oracle (12c) to IBM DB2 UDB 10.5 .

    The idea is to simulate migration of sample data from Oracle to DB2 and some tools used to make this migration feasible. I also plan to uncover some data types which are incompatible on DB2 and the process of conversion of those data types to DB2. Verify our sample queries & stored procedures to continue to work on the migrated database (DB2). Finally add some performance enhancement in the process of migration. I expect this paper to give the DB architects (at work) struggling with the bigger picture of the problem to look at the solution in a much simpler way through this paper.

  • Revealed: Recipe for Successful Ideation

    Channelized and managed ideation can help transforming ideas into marketable goods and services giving a competitive advantage to organisations triggering exponential growth. Any misalignment or undermining of innovation process could, however, hinder organization’s growth.

  • Database Security (DB2)

    With an increasing number of cases of data and identity theft, organizations are focusing towards protecting data as in today’s world, data is everything. As organizations become more aware towards data security breaches and their consequences, various regulations (like GLBA, HIPAA, SOX etc.) are also enacted to ascertain data security. Any non-compliance of these regulations can result in losing a customer, financial penalties or even criminal proceedings. Since, most of the data in the…

    With an increasing number of cases of data and identity theft, organizations are focusing towards protecting data as in today’s world, data is everything. As organizations become more aware towards data security breaches and their consequences, various regulations (like GLBA, HIPAA, SOX etc.) are also enacted to ascertain data security. Any non-compliance of these regulations can result in losing a customer, financial penalties or even criminal proceedings. Since, most of the data in the organizations resides in Databases; organizations want to make sure that their data remains pristine by employing commercial Databases that have state-of-the-art methods to secure their data as well as to mandate compliance to various regulations. IBM’s DB2 can handle data security threats easily with a robust security mechanism and thus DB2 is widely used by some of the large organizations across the world.

    In this paper we would see various DB2 security features and the level of security they provide to the database (and data per se). We will begin with understanding various Data threats that loom large on the organizations and subsequently move towards looking at the DB2 security features that helps in obviating such security threats.

  • Automate Data Model Creation in ERwin using Excel

    GALAXESOLUTIONS

    This paper intends to share an ingenuous method of automating the Manual process of Data Model creation in ERwin by creating ERwin's SCAPI macro. Business data in Excel sheet can be transformed automatically into Data Model using the methodology devised in this Technical Paper.

  • Effective Knowledge Management in IT Companies

    CSC

    Through this paper, I tried to bring out various advantages of an effective Knwowledge management in IT companies and various methods to implement a robust and efficient knowledge management which would subsequently lead to a wave of Innovation in the organisation.

Courses

  • Artificial Intelligence & Machine learning - Strategy & Leadership

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  • COMPUTER SCIENCE ENGINEERING

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Projects

  • Modernizing Affordable Medicine Accessibility through Automated Digitization of Hand-Written Forms using GCP (Google Cloud Platform)

    Leading design & development of Solution for process automation of digitization of hand-written forms for a large Pharmaceutical Organization to drive accessibility of affordable medicine for qualifying people. This solution leverages AI/ML services on Google Cloud Platform including Vision API, Document AI and AutoML based Custom Model. The metadata based process automation provides flexibility for reusing the Core-Module across forms of different layouts/formats with minimal or no changes for…

    Leading design & development of Solution for process automation of digitization of hand-written forms for a large Pharmaceutical Organization to drive accessibility of affordable medicine for qualifying people. This solution leverages AI/ML services on Google Cloud Platform including Vision API, Document AI and AutoML based Custom Model. The metadata based process automation provides flexibility for reusing the Core-Module across forms of different layouts/formats with minimal or no changes for scalability and variability.

  • AI Strategy

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    Purpose is to build and execute on group's AI strategy of accelerating adoption of AI and enabling 10-15% of group's revenue in 3-5 years.

    Primary focus areas are -
    # Building and operationalize the prioritized AI opportunities, Contemporizing the existing processes and solutions and Facilitating identification, evaluation, and solutioning of new AI opportunities.

    # Developing common supporting capabilities around technology platform, talent acquisition, learning and…

    Purpose is to build and execute on group's AI strategy of accelerating adoption of AI and enabling 10-15% of group's revenue in 3-5 years.

    Primary focus areas are -
    # Building and operationalize the prioritized AI opportunities, Contemporizing the existing processes and solutions and Facilitating identification, evaluation, and solutioning of new AI opportunities.

    # Developing common supporting capabilities around technology platform, talent acquisition, learning and development, eminence, quality, etc. to enable the group to successfully sell and deliver AI-enabled services to our clients

    # Driving tracking and reporting of key metrics to executive leadership and ascertain adherence to overall strategy

    # Enhancing cross functional and global collaboration across strategic initiatives, capability development, and go-to-market efforts

    It has resulted in successful identification and development of AI/ML focused Products and Services establishing Deloitte strongly in the Marketplace.

  • Cloud Native Retail Data and Analytics Platform

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    Product Manager for cloud native AI enabled integrated demand forecasting, replenishment, inventory and procurement optimization platform with E2E operational visibility and reporting capabilities.

  • Digital transformation and Advance Analytics Pilot – Fortune 500 global chemical and specialty materials company– Internal Audit/Compliance Function

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    Project Overview : Analyze Employee Expenses and Account Payable data to detect anomalies indicative of potential fraud, waste, and abuse using Machine Learning with Databricks and Azure.

    This pilot was part of Digital Transformation initiative of the organization for introducing Advance Analytics as part of their Internal Audit function. The engagement began with presenting long-term Advance Analytics road-map for organization followed by client’s environment & technology assessment and…

    Project Overview : Analyze Employee Expenses and Account Payable data to detect anomalies indicative of potential fraud, waste, and abuse using Machine Learning with Databricks and Azure.

    This pilot was part of Digital Transformation initiative of the organization for introducing Advance Analytics as part of their Internal Audit function. The engagement began with presenting long-term Advance Analytics road-map for organization followed by client’s environment & technology assessment and pilot for Employee expense and Vendor/procurement focus areas. This involved leading and managing the account and guide the team to develop rule-based and Unsupervised Machine Learning based analytical models in client’s Azure environment using SQL Server and R and Python on DataBricks to identify potential anomalies followed by Tableau dashboard.

  • Cognitive Platform for Fraud Analytics

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    Leading Government Organization in Middle-East, struggling with pernicious fraud prevailing in all business areas, was looking for data powered analytics driven approach to proactively detect & prevent fraud.

    We built a Fraud Management System powered by a cognitive analytics platform at its core that encompasses data selection, cleansing & real-time extraction; detection, through investigation, triage, case management, and reporting. The platform improved the effectiveness and…

    Leading Government Organization in Middle-East, struggling with pernicious fraud prevailing in all business areas, was looking for data powered analytics driven approach to proactively detect & prevent fraud.

    We built a Fraud Management System powered by a cognitive analytics platform at its core that encompasses data selection, cleansing & real-time extraction; detection, through investigation, triage, case management, and reporting. The platform improved the effectiveness and efficiency of analysts and investigators and closes the gaps in fraud visibility across all channels and areas including Medical Insurance claims, Pension requests, Unemployment benefits and Identity theft.

    System comprised of 20+ statistical models that use various cognitive techniques like Neural Networks (Restricted Boltzmann), Time Series Analysis, Semantic Text Analysis, Regression Analysis and Ensemble Techniques to unearth anomalies and generate scores. The statistical models are supplemented by several configurable business rules enabling Real-time Fraud detection and empowering business users with score threshold and transaction volumetric customization for granular control over alerts & investigations.

    To reason, the system uses data inputs and established understanding from Model scores and business rules, consider arguments, and prioritize suggestions in form of alerts making recommendations, providing insights, and suggesting discoveries. The system is capable of continuous learning and drawing insights from outcomes of historic investigation performed by inspectors.

    The new system will enable client to proactively detect fraud and preemptively curb financial losses thereby resulting in potential yearly savings of approximately 6 Million USD to 27 Million USD radically changing the current fraud detection & prevention process.

  • Opinion Mining & Sentiment Analysis over Deloitte Re-Branding Exercise

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    Formed and led the team to use information technologies to seek out and understand the opinions of people across the world, resulting from Deloitte re-branding, using computational treatment of opinion, sentiment and subjectivity in text gathered from various sources like Twitter, Facebook, News Websites, Forums and Blogs. Following activities were performed as part of this project -

    • Analyzing the sentiments and emotions expressed by public in social media and web articles related to…

    Formed and led the team to use information technologies to seek out and understand the opinions of people across the world, resulting from Deloitte re-branding, using computational treatment of opinion, sentiment and subjectivity in text gathered from various sources like Twitter, Facebook, News Websites, Forums and Blogs. Following activities were performed as part of this project -

    • Analyzing the sentiments and emotions expressed by public in social media and web articles related to Re-Branding of Deloitte.
    • Extraction of social media (Twitter, Facebook & Web articles) contents using R and storing the data in PostgreSQL.
    • Performed Sentiment Analysis and Topic modelling on the contents to infer that Re-Branding by Deloitte has been taken positively by people. The prominent emotions exhibited were Trust, Anticipation and Joy.

    The interesting part of the project is that we used R for all tasks ranging from Social media data extraction, News/Blogs scraping , Data preparation, Sentiment Analysis,Topic Modeling and Visualization.

  • Artificial Intelligence and Machine Learning (AIML) Tech Due Diligence Framework

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    Ankit spearheaded a critical initiative by developing a robust and comprehensive Artificial Intelligence and Machine Learning (AIML) Tech Due Diligence Framework that demonstrates Ankit's. This endeavor was in direct response to a specific request from Chief Technology Officer (CTO) of a large PE/Growth Equity Firm. The culmination of this effort was a presentation where the CTO personally delivered the framework to the executives and board members of the firm. The primary objective of this…

    Ankit spearheaded a critical initiative by developing a robust and comprehensive Artificial Intelligence and Machine Learning (AIML) Tech Due Diligence Framework that demonstrates Ankit's. This endeavor was in direct response to a specific request from Chief Technology Officer (CTO) of a large PE/Growth Equity Firm. The culmination of this effort was a presentation where the CTO personally delivered the framework to the executives and board members of the firm. The primary objective of this framework was to provide a systematic and in-depth approach to AIML technology due diligence and demonstrating his expertise in this area. Recognizing the transformative potential of AI and ML in our industry, the framework was meticulously designed to serve as a guiding compass for decision-makers. It went beyond the conventional due diligence processes, incorporating nuanced considerations relevant to the dynamic landscape of AI and ML. By strategically aligning this initiative with the organization's goals, the presentation served as an educational tool for the executive leadership and board members. It facilitated a comprehensive understanding of the role of AIML technologies in shaping the future market development strategies and investment decisions for the PE/Growth Equity Firm. Moreover, the framework didn't just stop at providing information; it actively contributed to the decision-making process. Leveraging this framework, the firm's leadership gained insights into the risks and opportunities associated with AIML technologies while assessing AIML centric organizations for potential investments, empowering them to make informed choices that align with their vision for growth and innovation. This accomplishment not only showcased AWS commitment to staying at the forefront of technological advancements but also positioned AWS as a thought leader in leveraging AIML for strategic business development.

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