Hrishekesh Shinde

Hrishekesh Shinde

Business Analyst / Developer

Followers of Hrishekesh Shinde3000 followers
location of Hrishekesh ShindeMount Waverley, Victoria, Australia

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  • Timeline

  • Skills

    Restful webservices
    Spring boot
    Node.js
    Angularjs
    Mongodb
    Reactjs
    Maven
    Jenkins
    Karma
    Gruntjs
    Selenium
    Jquery
    Swagger
    Oracle webcenter sites
    Oracle database
    Sql
    Machine learning
    Unsupervised learning
    Python
    Deep learning
    Numpy
    Scipy
    Keras
    Tensorflow
    Neural networks
  • About me

    Technical architect with 11 years of experience with expertise in REST services development using Node.JS, Spring Boot, Maven, Swagger. Well versed with Object oriented JavaScript, Angular JS (v1.4), Jquery, React JS. Have set up Automation and continuous integration (CD/CI) - Maven, Jenkins, Karma, Grunt, Selenium. Chai JS, Sinon and Mocha JS for unit testing. Have experience working on Web Content Management using Oracle WebCenter Sites. I have developed frameworks of my own to ease development. I am also familiar with Machine Learning - Supervised, Unsupervised learning and Deep learning using neural networks. Have worked on projects using Python, Numpy, Scipy, Keras, Tensorflow

  • Education

    • Gogte Institute of Technology

      2002 - 2006
      Bachelor of Engineering Mechanical Engineering
    • Lewis University

      2018 - 2020
      Master of Science - MS Data Science
    • Udacity

      2017 - 2017
      Machine Learning Nanodegree
  • Experience

    • Tata Consultancy Services

      Oct 2006 - May 2010
      Business Analyst / Developer

      Conducted interviews with key business users to collect information on business processes and requirements. Identified process inefficiencies through gap analysis. Built, tested and deployed front end screens using Java Server Faces (JSF) framework.

    • Wipro

      May 2010 - Jan 2012
      Senior Software Engineer

      Wrote reusable and extensible plugins using Java Server Faces to render dynamic screens. Rapidly developed prototype for new capabilities to confirm feasibility. Worked effectively with design teams to prepare detailed design and software implementation based on the same.

    • Infosys

      Jan 2012 - Feb 2018

      Working closely with client stakeholders to establish solution specifications and system designs based on business requirements. Design new product capabilities such as enterprise shared data self-service, authentication and authorization integration for digital, analytics using Google Tag Manager and Tealium data layer, consumer self service capabilities and web content management (CMS) implementations. Streamline development and deployment process utilizing Behaviour Driven Development (BDD) methodologies using Selenium, Cucumber, Grunt, Protractor, Karma, Maven and Jenkins. This saved about 20 person hours per sprint. Show less

      • Technology Architect

        Jan 2016 - Feb 2018
      • Technology Lead

        Jan 2012 - Jan 2016
    • Globant

      Feb 2018 - now

      Working as a technical manager for Data Science at Globantand leading a team of 27 data scientists. As part of my role, I have done the following:• Defined AI roadmap at Globant for 5 years to explore new business areas,upcoming technologies and develop in-house talent.• Served as a gatekeeper for recruiting tech leads, architects and techmanagers for AI studio. Grew the studio from 3 people to 27.• Led training programs, arranged tech talks and knowledge sharing sessionsto continuously improve competency in the team and show caseinnovations to the clients.• Regularly worked on RFPs and farming business opportunities in themedical, retail and fintech domain. This includes execution andengagement strategy definition, solution design, planning and estimations.• Created solution design and high-level design for implementation ofprojects. Worked closely with business and technical stakeholders to ensureoptimal implementation and have quality deliverables.• Some of my key successful executions include the following:1. Recommendation system for slot machines optimization acrossAustralia to improve user engagement and revenue2. MLOps accelerator which is cloud agnostic and reduces time to marketfor ML models which was implemented for multiple clients.3. Domain specific machine translations in medical domain.4. Knowledge graphs for recommendations within information discoverybot and integration with large language models.5. Designed a quick to market chatbot framework using Azure services. Show less

      • Tech Manager

        Apr 2022 - now
      • Data Scientist / Technical Architect

        Feb 2018 - Apr 2022
  • Licenses & Certifications

    • Microsoft Certified: Azure Data Scientist Associate

      Microsoft
      Aug 2021
      View certificate certificate
    • Microsoft Certified: Azure Data Scientist Associate

      Microsoft
      Aug 2021
      View certificate certificate
    • Microsoft Certified: Azure Data Scientist Associate

      Microsoft
      Aug 2021
      View certificate certificate