Experience

IHX

• India
• Hospitals and Health Care
• 1 - 100 Employee

• Data Scientist

  • Jul 2022 - Present

  1) Prepration of data and modelling it for predictive and classification use cases ( ML and DL algorithms) 2) Writing end to end machine learning pipelines including data processing to writing fast api endpoint to it. 3) Automation of creating reports of production data using python and sql and sending it to desired stakeholders on a pre defined interval of time that helps to keep track of performance of products in production environment 4) Create Power Bi dashboards as per requirement 5) Reading and applying research papers to day to day use cases at hand 6) Ingesting metadata using Azure data factory to azure blob storage, creating analytics tables using ADF pipelines to azure synapse sql pool database (first dumping them to azure data lake storage gen2) and embedding power bi reports on top of them 7) Preparing fine-tuning, domain adaption task training and inference pipelines for transformer based models and large language models and integrating them to existing solutions for task specific requirements. Show less



KPMG

• Canada
• Accounting
• 700 & Above Employee

• Data Analyst Consultant

  • May 2022 - Jun 2022

  Assessment of data quality and completeness in preparation for analysis, Targeting high value customers based on customer demographics and attributes, Using visualizations to present valuable insights. Assessment of data quality and completeness in preparation for analysis, Targeting high value customers based on customer demographics and attributes, Using visualizations to present valuable insights.



The Sparks Foundation

• Singapore
• Education Administration Programs
• 700 & Above Employee

• Data Analyst

  • Sep 2021 - Oct 2021