Ajay Prakash mangale

Ajay Prakash mangale

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Detail

Lead Data Scientist (11.6+ yrs) | LLMs, RAG, NLP, ML | A/B Testing | Generative AI | Product Analytics | User Segmentation | Remote Roles
Karnataka, India

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Starting at USD25/hour

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Résumé


Jobs verified_user 0% verified
  • 1
    ML-Product Manager
    17LIVE
    Oct 2021 - Current (4 years 9 months)
  • A
    Data Scientist
    Aeries Technologies Group
    Sep 2020 - Oct 2021 (1 year 2 months)
  • I
    Data Scientist
    Intellipredikt Technologies
    Aug 2019 - Sep 2020 (1 year 2 months)
  • A
    Research Engineer
    Aeronautical Development Agency (ADA)
    Nov 2014 - Jul 2019 (4 years 9 months)
Education verified_user 0% verified
  • V
    B.E (AE)
    VTU, S.C.T. Institute of Technology.
    Jan 2012 - Dec 2012 (1 year)
    71%
  • CBSE
    PUC
    CBSE
    Jan 2008 - Dec 2008 (1 year)
    67%
  • CBSE
    SSLC
    CBSE
    Jan 2006 - Dec 2006 (1 year)
    59%
Projects (professional or personal) verified_user 0% verified
  • C
    Churn prediction & Product recommendation.
    Aug 2018 - Apr 2019 (9 months)
    The objective of this project is to increase the company's revenue by retaining potential churn customers and also recommending products. My role in this project is listed below.Developed an end-to-end ML-based model for churn prediction, which will be used to predict potential churning customers. Model scores will be later used to provide some offers to retain the customer, ultimately increasing company revenue.Developed a product recommendation system for recommending products or services to customers based on other customers purchase history.Developing a Sentiment analysis model based on customer feedback and later used to segment customers. Some of its features will be used in product recommendation.
  • ADA
    Data analysis and predictive modelling of aircraft health using strain gauges.
    ADA
    Nov 2014 - Oct 2018 (4 years)
    This project basically involves data analysis of HUMS strain gauges installed in LCA Tejas aircraft and the development of machine learning models for HUMS software, and my role in this project is listed below.Computation of the Fatigue index (FI) of an aircraft component in order to predict the remaining useful life of the aircraft.A multilinear regression model is developed for the prediction of strain profiles based on the flight parameters of the aircraft.Developed a neural network backpropogation model for the prediction of strain profiles using flight parameters of aircraft.Developed an image classification neural network model for the detection of strain gauge failure and resulting in the selection of either the primary or the second
Awards verified_user 0% verified
  • G
    GATE(AE) -2016
    Jan 2016