ABHISHEK ANAND
Machine Learning Engineer at Avrio Energy- Claim this Profile
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Bio
Credentials
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Neural Networks and Deep Learning
CourseraApr, 2020- Sep, 2024 -
css course
SoloLearnJun, 2019- Sep, 2024 -
html course
SoloLearnJun, 2019- Sep, 2024 -
python course
SoloLearnMay, 2019- Sep, 2024
Experience
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Avrio Energy
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United Kingdom
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Renewable Energy Semiconductor Manufacturing
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Machine Learning Engineer
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May 2020 - Jul 2020
Feature Extraction and Signal Processing Intern for ML • Engineered an Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles. • Designed 16 feature extraction algorithms for Avrio Energy on 44kHz of Raw Electrical power data for ML to disaggregate Appliances using overall power consumption data • Collaborated in a team of 5 developers to prepare dashboards on Redash ( an… Show more Feature Extraction and Signal Processing Intern for ML • Engineered an Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles. • Designed 16 feature extraction algorithms for Avrio Energy on 44kHz of Raw Electrical power data for ML to disaggregate Appliances using overall power consumption data • Collaborated in a team of 5 developers to prepare dashboards on Redash ( an open-source a tool to explore, query, visualize, and share data ) to better visualize the extracted features. • Deployed the model on hardware and achieved more than 99 % accuracy on real-time household appliance classification. Show less Feature Extraction and Signal Processing Intern for ML • Engineered an Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles. • Designed 16 feature extraction algorithms for Avrio Energy on 44kHz of Raw Electrical power data for ML to disaggregate Appliances using overall power consumption data • Collaborated in a team of 5 developers to prepare dashboards on Redash ( an… Show more Feature Extraction and Signal Processing Intern for ML • Engineered an Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles. • Designed 16 feature extraction algorithms for Avrio Energy on 44kHz of Raw Electrical power data for ML to disaggregate Appliances using overall power consumption data • Collaborated in a team of 5 developers to prepare dashboards on Redash ( an open-source a tool to explore, query, visualize, and share data ) to better visualize the extracted features. • Deployed the model on hardware and achieved more than 99 % accuracy on real-time household appliance classification. Show less
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Ayu Devices Pvt Ltd
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India
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Wellness and Fitness Services
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1 - 100 Employee
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Machine Learning Engineer
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Nov 2019 - Jan 2020
• Conducted a comprehensive literature review and tested algorithms for canceling the background noise for the developed digital stethoscope • Used Adaptive noise cancellation to remove noise from the given signal • Implemented various algorithms like Normalized Least Mean Square and Recursive Least Square algorithm to remove noise from the heart sound • Used Singular Value Decomposition method to remove speech noise from the heart sound • Implemented Deep… Show more • Conducted a comprehensive literature review and tested algorithms for canceling the background noise for the developed digital stethoscope • Used Adaptive noise cancellation to remove noise from the given signal • Implemented various algorithms like Normalized Least Mean Square and Recursive Least Square algorithm to remove noise from the heart sound • Used Singular Value Decomposition method to remove speech noise from the heart sound • Implemented Deep Learning Recurrent Neural Network model to classify heart sound as normal or abnormal Show less • Conducted a comprehensive literature review and tested algorithms for canceling the background noise for the developed digital stethoscope • Used Adaptive noise cancellation to remove noise from the given signal • Implemented various algorithms like Normalized Least Mean Square and Recursive Least Square algorithm to remove noise from the heart sound • Used Singular Value Decomposition method to remove speech noise from the heart sound • Implemented Deep… Show more • Conducted a comprehensive literature review and tested algorithms for canceling the background noise for the developed digital stethoscope • Used Adaptive noise cancellation to remove noise from the given signal • Implemented various algorithms like Normalized Least Mean Square and Recursive Least Square algorithm to remove noise from the heart sound • Used Singular Value Decomposition method to remove speech noise from the heart sound • Implemented Deep Learning Recurrent Neural Network model to classify heart sound as normal or abnormal Show less
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Education
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2018 - 2023
Indian Institute of Technology, Bombay
BTech +MTech, Electrical engineering -Communication and signal processing
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