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Suryashankar Bhat Balaganapathi Bhat

Suryashankar Bhat Balaganapathi Bhat

Software engineer

Engineering / Architecture

Lincoln, Lincoln District, Lincolnshire

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About Suryashankar Bhat Balaganapathi Bhat:

As a recent MSc graduate in Robotics and Autonomous Systems from the University of Lincoln, I am equipped
with a strong foundation in AI, robotics, and machine learning. Through my coursework, I have developed
technical skills required for research in the AI domain, including Advanced Artificial Intelligence, Robotics
Programming, Advanced Machine Learning, Computer Vision, and Advanced Robotics.
During my studies, I worked on various projects that allowed me to apply my technical skills to solve real-world
problems. These projects, such as creating a python program to play games automatically, developing a model
to detect pneumonia using CNN classifiers, and designing a dataset for object detection using meta-learning for
industrial applications, showcased my ability to make valuable contributions to any organization.
My goal is to work for an innovative organization that prioritizes cutting-edge technologies and teamwork. As an
ambitious individual, I am eager to contribute to the development of AI and robotics technologies. My
background in research and technical expertise make me confident in my ability to make meaningful
contributions to any organization

Experience

As a recent MSc graduate in Robotics and Autonomous Systems from the University of Lincoln, I am equipped with a strong foundation in AI, robotics, and machine learning. Through my coursework, I have developed technical skills required for research in the AI domain, including Advanced Artificial Intelligence, Robotics Programming, Advanced Machine Learning, Computer Vision, and Advanced Robotics.
During my studies, I worked on various projects that allowed me to apply my technical skills to solve real-world problems. These projects, such as creating a python program to play games automatically, developing a model to detect pneumonia using CNN classifiers, and designing a dataset for object detection using meta-learning for industrial applications, showcased my ability to make valuable contributions to any organization.
My goal is to work for an innovative organization that prioritizes cutting-edge technologies and teamwork. As an ambitious individual, I am eager to contribute to the development of AI and robotics technologies. My background in research and technical expertise make me confident in my ability to make meaningful contributions to any organization.
My projects demonstrate a diverse range of skills and knowledge in the field of AI and machine learning. For instance, my sentiment analysis project using logistic regression with fine-tuning and my spam email classification project using different models show my expertise in classification tasks. Additionally, my chatbot project using the NLTK library with CNN and my fake news detection project using the passive aggressive classifier showcase my proficiency in natural language processing and text classification tasks. Finally, my exploratory data analysis project using the Pima Kaggle dataset, trained with various models such as Gaussian Bayes classifier, Bernoulli Naive Bayes network, decision trees, and Extreme Gradient Boosting, demonstrates my proficiency in data analysis and modeling.
Overall, my projects showcase my technical expertise and ability to apply AI and machine learning techniques to real-world problems. By using various tools and technologies such as TensorFlow, scikit-learn, pandas, Matplotlib, nltk, Numpy, and seaborn, I have demonstrated my proficiency in using the latest tools and technologies in the field of AI and machine learning.

Education

MSc in robotics and autonomous systems 

B. Tech in mechanical engineering

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