Sanathkumar Chiluveru

Sanathkumar Chiluveru

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Software Developer at Verizon
Fairfax, Virginia, United States

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Résumé


Jobs verified_user 0% verified
  • Radiant Digital
    Senior Data Analyst / Data Scientist
    Radiant Digital
    Feb 2024 - Current (2 years 9 months)
  • Verizon
    Software Developer
    Verizon
    Feb 2024 - Current (2 years 9 months)
  • Wells Fargo
    Data Analyst
    Wells Fargo
    Jun 2023 - Jan 2024 (8 months)
  • Tech Talent Connect LLC
    Software Developer
    Tech Talent Connect LLC
    May 2023 - Jan 2024 (9 months)
  • Accenture
    Data Analyst
    Accenture
    Nov 2020 - Feb 2022 (1 year 4 months)
Education verified_user 0% verified
  • University of Maryland Baltimore County
    Masters, Data science
    University of Maryland Baltimore County
    Jan 2022 - Dec 2023 (2 years)
  • Sreenidhi Institute of Science And Technology
    Bachelor of Technology - BTech, Electronics and Communications Engineering
    Sreenidhi Institute of Science And Technology
    Computer Science Coursework: C Programming, Data Structures, and Algorithms, Programming in C++, Database Management Systems, Java Programming, Computer Networking
Projects (professional or personal) verified_user 0% verified
  • A
    Analyzing and predicting electric bike demand in D.C. using Machine learning.
    Jan 2023 - Apr 2023 (4 months)
    • Accomplished the creation of ETL pipelines to transfer on-premises data to AWS Redshift for analysis, improving data accessibility and processing efficiency and performing statistical analysis.
    • Created tableau dashboards with 13 visualizations to make a report that visualizes all findings.
    • Achieved a high accuracy of 92% in the gradient-boosting machine learning model, providing reliable predictions, and enhancing decision-making.
  • T
    Traffic sign detection using Convolution neural network- A Deep learning approach
    Dec 2019 - May 2020 (6 months)
    The accident rate due to negligence of observing traffic signs and not obeying traffic rules has been increasing drastically. By utilization of synthesized training data, which are created from road traffic sign images allows us to overcome the problems of traffic sign detection databases, which vary for countries and regions. This method is used for the generation of a database which consists of synthesized pictures to detect traffic signs under different view-light conditions. With this data set and a perfect Convolutional Neural Network (CNN), we can develop a data driven, traffic sign recognition and detection system which has high detection accuracy and also has high performance ability in training and recognition processes.
  • I
    Implementation of knn algorithm using machine learning for health care applications
    Aug 2019 - Nov 2019 (4 months)
    • A Machine learning model using the Knn algorithm to classify the healthcare facilities based on the realistic data of people such as income, budget, disease, etc.
    • We used python and machine learning algorithms-Knn, OpenCV module to implement this project
Publications verified_user 0% verified
  • I
    Traffic sign detection using Convolution neural network-A deep learning approach
    International journal of creative research thoughts
    May 2020
    The accident rate due to negligence of observing traffic signs and not obeying traffic rules has been increasing drastically. By utilization of synthesized training data, which are created from road traffic sign images allows us to overcome the problems of traffic sign detection databases, which vary for countries and regions. This method is used for the generation of a database which consists of synthesized pictures to detect traffic signs under different view-light conditions. With this data set and a perfect Convolutional Neural Network (CNN), we can develop a data driven, traffic sign recognition and detection system which has high detection accuracy and also has high performance ability in training and recognition processes.
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