Pushpendra Neniwal

Pushpendra Neniwal

Data Scientist

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location of Pushpendra NeniwalNoida, Uttar Pradesh, India

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  • Timeline

  • About me

    Generative AI/ New AI | LLM | Azure Cloud | RAG Architecture | Langchain & Llama Framework | Machine Learning | Computer Vision | Deep Learning | Natural Language

  • Education

    • M.B.M. Engineering College, Jodhpur

      2013 - 2016
      Master of Engineering (M.Eng.) 1st
    • M.B.M. Engineering College, Jodhpur

      2006 - 2010
      Bachelor of Engineering - BE 1st
  • Experience

    • Hindustan Projects and Engineering works

      Sept 2018 - Jun 2022
      Data Scientist

      Experience in development and deployment of Machine learning algorithms. I am currently a Machine learning engineer and remain passionate about my job and new technologies in general. Particularly interested in the new use cases and the opportunities that bring the development of real-world applications using AI, I wish to pursue my career on innovative product development projects as a Machine learning architect and/or developer and/or engineer. * Goal oriented, good at a time and project management, strong team member, worked across different cross-functional teams. Show less

    • Sopra Steria

      Jun 2022 - now
      Module Lead

      - Experience in end-to-end data science project execution, from data exploration and preprocessing to model development and deployment. - Proficient in applying advanced predictive modeling techniques, such as regression, classification, and clustering, to generate accurate predictions and uncover patterns in diverse datasets. - Proficient knowledge of Large Language Model (LLM) Framework, Generative AI, Langchain. - Strong command of data processing techniques, including cleaning, transforming, and feature engineering, to ensure high-quality data for analysis and modeling. - Expertise in computer vision tasks, such as object detection, image classification, and image segmentation, utilizing deep learning frameworks like TensorFlow. - Skilled in natural language processing (NLP) tasks, including sentiment analysis, text classification, and information extraction, utilizing techniques such as word embeddings and recurrent neural networks. - Good knowledge of data mining algorithms and statistical analysis to extract valuable insights and identify actionable trends from complex datasets. - Proficient in programming languages like Python, with experience in libraries and frameworks like scikit-learn, Keras, and NLTK. - Strong data visualization skills using tools such as Tableau and Matplotlib to effectively communicate complex findings to stakeholders. - Proven ability to collaborate with cross-functional teams, understand business requirements, and develop data science solutions that drive measurable impact Show less

  • Licenses & Certifications

    • Introduction to Generative AI

      Google Cloud Training Online
      Jul 2023
    • Databricks Accredited Generative AI Fundamentals

      Databricks
      May 2024
    • BCG - GenAI Job Simulation

      Forage
      May 2024
      View certificate certificate
    • AWS Well-Architected

      Amazon Web Services (AWS)
      Sept 2023