Prateek Sahu

Prateek Sahu

Python Developer

Followers of Prateek Sahu5000 followers
location of Prateek SahuBengaluru, Karnataka, India

Connect with Prateek Sahu to Send Message

Connect

Connect with Prateek Sahu to Send Message

Connect
  • Timeline

  • About me

    Data Science @IIT Madras | Machine Learning Practitioner

  • Education

    • Dr. Harisingh Gour University (Sagar University)

      2016 - 2017
      Bachelor's degree Statistics

      Dropout

    • Jabalpur Engineering College

      2017 - 2021
      Bachelor of Technology - BTech Electronics and Communications Engineering
    • Scaler

      2021 - 2022
      PGP Applied Machine Learning
    • Vatsalya Senior Secondary School - India

      2015 - 2016
      12th PCM
  • Experience

    • ARG BPO SERVICES AND KAMS IT TECHNOLOGY

      Apr 2020 - May 2021
      Python Developer

      Implemented MVT architecture for developing the web application with the help of Django framework.Developed 60+ high-quality, high-performanced, maintainable APIs in django REST API framework for e-learning application.Designed frontend with react js & integrated with web API. Constructed Store Procedure in MS-SQL Server & optimized time complexity for 1M users.Extracted 2 Lakh+ rows of text data from images by performed OCR with tesseract as per the bussiness requirement.

    • Infosys

      Aug 2021 - Sept 2023
      Machine Learning Engineer

      • Create CI/CD pipeline to automate the process of model training, validation and model deployment.• Extract text from 1M+ PPTs by using the YOLO object detection model and achieved 87% F1-score.• Trained a transformer-based BERT text classification model, significantly improving accuracy by 23%.• Collaborated with cross-functional teams to design and develop a high-performance API for real-timeinference, leveraging AWS infrastructure and best practices for scalability and reliability.• Created a scalable Kubernetes-based Kubeflow pipeline for end-to-end machine learning workflows,enabling seamless model development, training, and deployment in a production environment.• Utilise Docker and Kubernetes to containerise, orchestrate and scale over 12+ flask RESTful APIs.• Enhanced the performance of over 14+ machine learning models through rigorous hyper-parametertuning, resulting in an impressive 8% improvement in efficiency for detecting fraudulent claims. Show less

    • Publicis Sapient

      Oct 2023 - now
      Sr. Data Scientist
  • Licenses & Certifications