Akash Gupta

Akash Gupta

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National Capital Territory of Delhi, India
Contact Akash regarding: 
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Full-time jobs
Starting at USD10K/month

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Résumé

Jobs verified_user 0% verified
  • Ensemble Health Partners
    Data Scientist II
    Ensemble Health Partners
    Oct 2022 - Current (3 years 6 months)
    As a Data Scientist II, I engineered scalable machine learning deployments on Azure ML, optimizing solutions with LLM fine-tuning, retrieval-augmented generation (RAG), and automated CI/CD workflows utilizing DevOps, GitHub, and Airflow. I drove generative AI solutions, including Appeal Letter Generation, Payer Updates, and Next Best Action, by developing advanced pipelines with MLOps and LLMOps, leveraging various ML and AI frameworks. In the Appeal Letter Generation project, I engineered an LLM-based solution to automate the creation of appeal letters for medical claim denials, effectively summarizing clinical histories, justifying procedures, and referencing CMS guidelines. My technical expertise involved designing RAG pipelines with a
  • HSBC
    Asst. Manager - Data Scientist I
    HSBC
    Sep 2021 - Oct 2022 (1 year 2 months)
    As an Asst. Manager - Data Scientist I, I developed and deployed scalable machine learning solutions and pipelines utilizing Natural Language Processing (NLP) and Data Science techniques to automate reporting and optimize bots, thereby enhancing business insights. In the UKCS INPS (Net Promoter Score) ML Driver project (02/2022 - 05/2022), I analyzed over 243K responses across 470 CCT datasets using NLP and machine learning models to identify high and low-impact themes on NPS. Additionally, I worked on the Employees Workspace Recommendation Modeling project (12/2021 - 01/2022), where I implemented an unsupervised machine learning model leveraging CCPOH, NPS, FCR, and online percentage features to segment employees and recommend future works
  • Tata Consultancy Services
    Data Analyst
    Tata Consultancy Services
    Oct 2020 - Jul 2021 (10 months)
    As a Data Analyst, I developed time-series and supply-demand forecasting models using Python, machine learning, and statistical methods, providing actionable insights that drove strategic decision-making. My expertise in model evaluation ensured the accuracy and reliability of the forecasts generated. Additionally, I leveraged cloud environments to enhance data processing capabilities and utilized TensorFlow for building robust machine learning models. While my experience with natural language processing (NLP) may not be directly relevant to my primary role, I employed NLP techniques to fetch data and conduct semantic analysis, which further refined my analytical skills. Participating in hackathons on platforms like DrivenData and Kaggle al
Education verified_user 0% verified
  • D
    Bachelor of Technology: Information Technology (IT)
    Dr. A.P.J. Abdul Kalam Technical University (UPTU)
    Jun 2016 - Aug 2020 (4 years 3 months)
    CGPA - 8.3 | Percentage-83.10%
Publications verified_user 0% verified
  • A
    Automated Image Captioning
    Nov 2019 - Mar 2020 (5 months)