GaneshRaj V

GaneshRaj V

ABOUT ME
Machine Learning Enthusiast
Machine Learning Enthusiast
  • 3D's of my life.
    Desire to learn always
    Dedication towards what I do
    Determination of what I wanted to be

  • Final year engineering student carrying theoretical and practical skill set of Machine learning, Deep Learning, Neural networks with Python, Version control system-Git, Cloud Computing.

  • I love to automate things with code

  • Having practical knowledge on Writing clean, Modular, and Refactoring the Code

  • I have a habit of learning things that are new to me and tuning Myself as the weights get turned in Neural Network.

Pacific Time (US & Canada) (-07:00)
Joined July 2020
EXPERTISE
2 years experience
2 years experience
2 years experience
2 years experience
EMPLOYMENTS
Data Scientist and Software Engineer
Tadaa
2021-06-01-Present
>> Experimenting model using H2O Driverless AI >> Automating the experiment and tuning parameters using H2o Python Client >> Building fo...
>> Experimenting model using H2O Driverless AI >> Automating the experiment and tuning parameters using H2o Python Client >> Building forecasting model as for Proof of Concept >> Worked on Media Mix Model for market analysis >> Automating Data Visualization and Model Experiment with ( Error Rate & Forecasting )
H2o driverless ai, forecast
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H2o driverless ai, forecast
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Deep Learning Engineer
HertzAI
2021-05-01-2021-07-01
>> Image Pre-Processing for tesseract pipeline >> Building torch server model for dewarping Image >> Worked on Docker Container >> Model ...
>> Image Pre-Processing for tesseract pipeline >> Building torch server model for dewarping Image >> Worked on Docker Container >> Model optimization and automating
Git
Machi
Image p
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Git
Machi
Image p
Deep lea
Torch server
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Junior Machine Learning Engineer
Podscademy
2021-03-01-2021-05-01
>> Built flask endpoints for machine learning models >> Optimizing the deep learning model with hyperparameter tuning >> Debugging the co...
>> Built flask endpoints for machine learning models >> Optimizing the deep learning model with hyperparameter tuning >> Debugging the code and generalizing the pipeline >> Built Object Detection model with Yolo V4
Deep learning , machine learni
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Deep learning , machine learni
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PROJECTS
Face Mask Detection using Yolo v3 .View Project
2020
The model is trained for 1300 iterations leading the mAP( Mean Average Precision ) Accuracy to 97.37 with 71.77% as Avg IoU.
The model is trained for 1300 iterations leading the mAP( Mean Average Precision ) Accuracy to 97.37 with 71.77% as Avg IoU.
Deep Learning
Artificial Neural Networks
Yolov3
Deep Learning
Artificial Neural Networks
Yolov3