Bharath M B

Software Engineer

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About Me

I'm a Software Engineer with two years of experience. I have a strong foundation in these skills. I am able to use data science to extract insights from data, use computer vision to analyze images and videos, use NLP to understand natural language, use machine learning to build predictive models, and use Python and R programming to implement these tasks. I am also familiar with deep learning, which is a powerful machine learning technique that is used in a variety of applications.

Education

2023

MTech - Data Science and Engineering

M s ramaiah university of applied sciences - bangalore




2021

Be - Computer Science and engineering

2018

Diploma - computer science and engineering

Government ploytechnic belur


  • project - Student attendance tracking system

Experience

2021

Software Engineer

dijisuji technologies pvt ltd


  • Coordinated with other engineers to evaluate and improve software and hardware interfaces.
  • Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.
  • Reviewed project specifications and designed technology solutions that met or exceeded performance expectations.
  • Conducted regression testing and submitted observations to development team.


Full Stack Programming

Web Programming - HTML, CSS, JavaScript

Web Frameworks - ReactJS

Databases - SQl, MongoDB

AI Programming

Data Science - NumPy, Pandas, Matplotlib

Machine Learning - Sklearn, TenserFlow

Deep Learning , Image Processing, OpenCV

Deep Learning Specialization, Coursera


  • Neural Networks and Deep Learning
  • Sequence Models
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks



Machine Learning Specialization, Coursera


  • Supervised Machine Learning : Regression & Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning





Natural Language Processing , Coursera


  • Natural Language Processing with Classification and Vector Spaces
  • Natural Language Processing with Probabilistic Models
  • Natural Language Processing with Attention Models
  • Natural Language Processing with Attention Models

Reach out

Bharath M B

bharathmb@yahoo.com

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