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Himalaya Ashish

Machine learning Engineer | Data Science Professional

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Himalaya Ashish
38 years old
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Professional Status
Employed
Available
About Me
8.5+ years of experience in software development.
4+ years of experience in Machine learning,deep learning,AI,neural networks,Time series,NLP.
3+ years of experience in Computer vision
Excellent knowledge of development and implementation of machine learning and deep learning model in production environment.

For more details, check my online resume : www.himalaya-ashish.com
Resume created on DoYouBuzz
Experiences
  • Potential customer ::
    Implemented deep neural networks to build a emotion detector model which can analyzes and classifies raw video while driving the test car.
    This application is being used to classify potential customer for Automotive industry.

    Algorithms ::- Artificial Intelligence, Deep learning, Neural networks, Classification, Clustering.
    Skills ::- Tensorflow, Python, Machine learning, Neural networks, Open-CV, Keras, Image processing, CNN, ANN.
    Platform ::- AWS
  • Damage Detection::
    Leveraged deep learning algorithms and computer vision techniques for car damage detection.
    This application is being used as a bridge between Automotive industry fand insurance company for claim reimbursement.

    Algorithms :- Artificial Intelligence, Classification, Computer vision
    Skills ::- Tensorflow, Neural networks, Open-CV, Python , deep learning, Flask, docker.
    Platform ::- AWS
  • Responsible for developing application for medical object detection and human activity classification.
    This application is used for classification of the medical instruments and productive hours of employees.
    Data preprocessing – resize, color conversion, denoising, image enhancement, data augmentation.
    Collected and trained the model on large image datasets.
    Algorithms ::- Artificial Intelligence, Classification, Computer vision, YOLO, OpenCV,SLAM
    Skills :- Tensorflow, Neural networks , CNN, ANN, Open-CV, Python , deep learning, Flask, docker.
    Platform ::- AWS
  • MediAI ::
    Design and implement neural network based system which will classify the X-rays and CT scans images.
    This application will classify the severity and used to route the patient to right doctors.
    Data preprocessing – resize, color conversion, denoising, image enhancement, data augmentation.
    Collected and trained the model over millions of image datasets.

    Algorithms ::- Artificial Intelligence, Deep learning, Neural networks, Classification, computer vision.
    Skills ::- Tensorflow, CNN, Python , deep learning, Flask, docker.
    Platform ::- AWS
  • eRetail::
    Applied advanced statistical methods and interpreting the results, which will help the business make meaningful business decisions.
    As a Statistical analyst, I worked on various approaches like, Regression Analysis, Time Series (State Space Analysis), Arima, Sarima, Arimax, Sarimax, RNN, LSTM Data Exploring Analysis
    Algorithms ::- Regression Analysis, Time Series (State Space Analysis),Data Exploring Analysis.
    Skills ::- Tensorflow, Arima, Sarima, Arimax, Sarimax, RNN, LSTM.
    Platform ::- AWS
Resume created on DoYouBuzz