Paritosh Yadav

Data Scientist at AppZen
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Contact Information
us****@****om
(386) 825-5501
Location
Nagpur, Maharashtra, India, IN
Languages
  • Hindi Native or bilingual proficiency
  • Marathi Limited working proficiency
  • English Full professional proficiency

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Credentials

  • Computer vision
    Coursera
  • Deep Learning
    Coursera
  • Machine Learning
    Udemy
  • Recurrent neural network
    Coursera

Experience

  • AppZen
    • United States
    • Software Development
    • 200 - 300 Employee
    • Data Scientist
      • Apr 2021 - Present

      ● Graph Attention Networks for Extraction. ● NER Tagging (Natural language processing) ● Automatic Email Reply with LLM Model, Transfomer ● Design Pipeline for Auto Model Auto Train using Pyspark, flink. ● Transfomer base model Key Value Extraction from any document with 90% precision and recall. ● Serverless AI Function Deployment ● Traditional ML Automate Pipeline for Invoice and VAT ● Multilingual Modeling for Invoice. ● Section Extraction from document like (table, text, title,etc) Show less

  • Trantor
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Machine Learning Engineer
      • Jun 2019 - Nov 2020

      Leveraged Multiple Instance Learning architecture for Spatio-Temporal Feature extraction in semi- supervised setting from videos and image sequences to identify processes from user activity logs. Technology Stack: Python PyTorch,OpenCV,NLP,RNN. ● Designed and Deployed an OCR solution that outperformed the accuracy of Google’s Vision API by 7% benchmarked on ICDAR 2013 dataset. We had formularised a loss function base on Fourier Transformation for region proposal using Gaussian heat maps and enhanced semantic understanding of texts using Transformer. Technology Stack: Python, PyTorch, OpenCV, NLTK, Docker, Google Cloud. ● Member of the technical interview panel for python and Machine Learning. Show less

  • smartData Enterprises Inc.
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Machine Learning Engineer
      • Jan 2017 - May 2019

      ● Handling large dataset for classification of which customer is going to make a claim in future based on their job description.(recall 0.91). Draw Generic machine learning architecture for classification problem. ● Based on Patent history, extract drugs and what treatment he had. ● Deep Learning model for Damage car detection for micro insurance claim process. ● Handling large dataset for classification of which customer is going to make a claim in future based on their job description.(recall 0.91). Draw Generic machine learning architecture for classification problem. ● Based on Patent history, extract drugs and what treatment he had. ● Deep Learning model for Damage car detection for micro insurance claim process.

Education

  • Shri Ramdeobaba College of Engineering and Management
    Master of Computer Applications - MCA, Computer Science
    2015 - 2017
  • Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
    MCM, Computer Science
  • Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
    PGDCCA, Computer Science
  • Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
    BCCA, Computer Science

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