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Himalaya Ashish

Machine learning Engineer . Data Science Professional

Himalaya Ashish
32 years old
Professional Status
Employed
Available
About Me
Machine Learning Engineer skilled in Machine learning, Data science, deep learning, computer vision, NLP with total 8 years of experience.

For more details, check my online resume : www.himalaya-ashish.com
  • Designed and implemented system software and application software that records audio and video data in auto start mode.Managed auto transfer mechanism from physical device to AWS S3 bucket.Implemented deep neural networks like CNN to analyzes and classifies raw video data into Pleasure, Anger, Surprise,Sadness and Neutral categories while driving the car. This application is being used to capture the driving experience for test drives of Automobile industry.

    Algorithms :- Neural networks, Classification.
    Skills :- Python, Machine learning, Neural networks, Open-CV,TensorFlow, Keras, Image processing, CNN, ANN.
    Platform :- AWS
  • Leveraged deep learning algorithms like CNN and computer vision techniques like open-CV to record and classify the productive hours of medical manufacturing industry. Design and implement neural network based system which will classify the medical instruments and productive hours of employees. This application is used to maintain the shift roster and total working hours.

    Algorithms :- Neural networks , CNN, ANN, Open-CV
    Skills :- Python , deep learning, Flask, docker.
    Platform :- Azure and AWS
  • Leveraged deep learning algorithms like CNN and ANN for standalone products for medical industry. Design and implement neural network based system which will classify the X-rays and CT scans images. This application is used to route the patient to right doctors.

    Algorithms :- Neural networks ,CNN, ANN
    Skills :- Python , deep learning, Flask, docker.
    Platform :- Azure and AWS
  • Implemented and evaluated machine learning algorithms for retail industries. Transformed raw data from structure, semi-structure and unstructured data sources to conform to assumptions of machine learning algorithm. Designed and implemented data engineering pipeline in containerized environment.

    Algorithms :- Classification, Regression.
    Skills :- Python, Docker, Logistic regression, Decision tree,Naive bayse, Flask, Docker, Mysql
    Platform :- Azure