Experience

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  Infosys

  Aug 2011 - Jan 2018

  ✦ Production Tickets Management raised by users on daily basis with quick turnaround. ✦ Onsite communication with client for requirement gathering and production support. ✦ Project timeline estimation and managing a team of 4-6 members. ✦ WINDOWS APPLICATION MODULES : Develop enhancements on the existing applications for various policy and transaction modules for a top US based insurance firm. Create new forms in MS Visual Studio IDE and generate reports using Crystal Reports.✦ ORACLE BASED QUERIES : Designing & Developing tables, procedures and triggers to store and manage data.✦ IIS DEPLOYMENT of packaged dlls and web services to production environment. ✦ TEST STUBS : Understand project code and build stubs for testing software functionalities.✦ WCF SERVICE APPLICATION to expose client data from the windows software application.

  • Technology Analyst

    Jul 2016 - Jan 2018

  • Senior System Engineer

    Mar 2013 - Jul 2016

  • System Engineer

    Aug 2011 - Mar 2013
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  Koinearth

  Feb 2018 - Jun 2018

  Software developer

  ✦ ASSET PRICING MECHANISM : Ethereum based Smart Contract implementation of asset pricing based on incentive mechanism.✦ CROWDFUNDING MECHANISM : Hyperledger based Smart Contract implementation for bulk buying scenario.✦ SIMULATION ENGINE : Javascript based simulator to imitate real world economy and call Distributable App API to connect with Smart Contracts.

• 

  International school of engineering (insofe)

  Nov 2018 - May 2021

  Data scientist

  ✦ AUTOMATED RESUME ASSESSMENT PROJECT : Natural Language Processing project for a US based RPO firm. Developed a prototype involving rule based and learning based models( Data Annotation and Modelling using Prodigy-Spacy tools ). Deployed into production with above 95% accuracy.✦ PLANT EFFICIENCY AND OPTIMISATION : ML project for a Saudi based petrochemical firm. Lead a team of 15 members and developed 15 models for predicting output and optimising chemical process.✦ PRE-SALES LEAD, collaborating with corporate clients to discuss ML/AI product requirements and provide consultancy support. ✦ CORPORATE TRAINING SERVICES LEAD, collaborating with corporate clients to discuss Data Science and Data Engineering training requirements, design curriculums, manage the deliver and quality of training ranging from a few days to months.✦ ML/AI INSTRUCTOR : Taught ML/AI to nearly 200 professionals in the range 0-25 years of work-experience.✦ Corporate Trainings on Deep Learning and AI for Fortune 500 companies. ✦ Developed various ML/DL/AI case studies as part of the course content. ✦ Internal Presentation on Attention Models and SOTA - BERT architecture. Show less

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  Rakuten india

  Jun 2021 - Jul 2024

  Lead data scientist

  - Forecasting & Anomaly Detection on Performance Monitor- Tweet Sentiment Analysis- Top cells with Mute Call Analysis- Scalable Model Inferencing with KFServing- Model Registry with MLFlow