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Learning, Exploring, Having Fun!!!
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Learning, Exploring, Having Fun!!!

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kysgattu/README.md

1700242687193

Hi there! You happened to stumble upon the profile of.....

KAMAL YESHODHAR SHASTRY GATTU

A Machine Learning and Data Science Enthusiast: Exploring the Field of Data Analysis, Deep Learning and Machine Learning Tools

๐Ÿ“– Master of Science in Computer Science
๐ŸŽ“ Bachelor of Technology in Computer Science & Engineering

๐Ÿ“ง E-mail : kysgattu0502@gmail.com
๐Ÿ”Ž LinkedIn : https://www.linkedin.com/in/kysgattu
๐Ÿ”— Portfolio

I have done these!!!

  • Engineered advanced text summarizers, seamlessly integrating Extractive (TextRank) and Abstractive (BART) techniques for optimizing news article summarization.
  • Enhanced BART Model performance significantly, achieving a 20% improvement over previous implementations.
  • Streamlined a thorough evaluation of cross-domain adaptability, consistently outperforming benchmark ROUGE scores in contrast to the model's original implementation and a fine-tuned BBC News model.
  • Analyzed the abstractive summarizer's adaptability to different domains, affirming its versatility and effectiveness.
  • Developed a Pedestrian Detection System for the University of Massachusetts Lowell's Campus Planning Department.
  • Utilized advanced Machine Learning Techniques and the formidable YOLO Deep Learning Algorithm to accurately count individuals on specific campus pathways.
  • Introduced a user-friendly interface to enable users to effortlessly upload videos and define detection regions.
  • The system seamlessly executes real-time detection, tracking, and tallying of pedestrians, elevating the Campus Planning Department's efficiency in managing pedestrian flow and reduced 90% manual time.
  • Developed a reliable method for detecting COVID-19 in patients by analyzing chest X-rays using Deep Learning systems.
  • Four CNN architectures are trained on a Chest Radiography dataset.
  • Analyzed the efficiency of standard LeNet, ResNet, and VGG networks on Chest X-ray image classification.
  • GRADCAM is used to detect COVID-19-affected areas in the lungs.
  • Analyzed the opinion of people by performing sentiment analysis on tweets by Twitter users on the topic of Climate Change.
  • Performed exploratory data analysis and trained models using various traditional machine learning algorithms and a Deep Learning Model using the Recurrent Neural Network approach using Text in Tweets and the frequency of some keywords as features.
  • Used Adult Income Dataset from UCI Repository to predict the income of citizens and classify people into two categories based on various dependent properties of a person collected during a Census.
  • Developed models using different Traditional Machine Learning Algorithms and used the results obtained are used to compare these algorithms using various evaluation metrics.
  • Developed a system to detect whether the person in a video/picture is wearing a mask or not using image recognition techniques
  • Developed a novel deep learning approach to detect fraudulency in images based on colors in images using various attributes like Illumination Consistency, Inter-Channel Correlation, etc.,
  • Developed an alternative voting channel to increase voter participation, and reduce election costs while upholding the highest security, verifiability, and integrity standards which enables voters to exercise their vote from anywhere using the internet.
  • Analyzing historical data of a group of patients and training system to detect the possibility of a patient having diabetes based on previous health conditions and finding effects of each health condition on having diabetes.
  • Developing a Machine Learning model for predicting the studentsโ€™ knowledge status about the subject of Electrical DC Machines based on certain constraints.

Talk to me about these.....

  • ๐Ÿ’ป Programming Languages: Python, Java, JavaScript, C, C+, C#
  • ๐Ÿ’ป Python Libraries: NumPy, Pandas, Scikit-learn, Keras, PyTorch, HuggingFace, Ultralytics, OpenCV, Matplotlib, Seaborn, NLTK
  • ๐Ÿ’ป Database: MySQL, PostgreSQL, Amazon Redshift
  • ๐Ÿ’ป Web Designing: Flask, HTML, CSS, JSP
  • ๐Ÿ’ป ETL Tools: Informatica PowerCenter, Informatica Intelligent Cloud Services (IICS)
  • ๐Ÿ’ป Operating Systems: Linux, Windows
  • ๐Ÿ’ป IDE: Eclipse, NetBeans, PyCharm, Jupyter
  • ๐Ÿ’ป Others: GitHub, REST API, Google Apps Script, Microsoft PowerApps, MS Office

I worked with them.....

  • ๐Ÿ’ผ Hooke Laboratories, LLC Systems Engineer (Python Developer - Software Development; Machine Learning Engineer; IOT Developer)
  • ๐Ÿ’ผ University of Massachusetts Lowell Facilities Informations Systems Assistant/Intern (Python/REST API Developer; Machine Learning Tools expert)
  • ๐Ÿ’ผ Cognizant Technology Solutions India Pvt. Ltd., Programmer Analyst Trainee (Data Integration - ETL Developer)
  • ๐Ÿ’ผ Electronics Corporation of India Ltd., Java Trainee & Intern (Web Developer Intern)
  • ๐Ÿ’ผ SmartBridge Educational Services Pvt. Ltd. Machine Learning Trainee & Intern (Machine Learning Intern)

Know about me more?

๐Ÿ‡ฎ๐Ÿ‡ณ-๐Ÿ‡บ๐Ÿ‡ธ Born in India - Now living in the USA
๐Ÿ Follow and play Cricket
๐Ÿ“š Love to read Fantasy, Fiction Novels
๐Ÿช„๐Ÿบ A Potterhead and Westerosi!

Pinned Loading

  1. Pedestrian-Detection-System Pedestrian-Detection-System Public

    Detect, Track and Count number of persons walking across the path(s) making use of YOLOv8.

    Python 7 1

  2. Chest-X-Ray-Classification-to-detect-COVID-19-using-Deep-Neural-Networks Chest-X-Ray-Classification-to-detect-COVID-19-using-Deep-Neural-Networks Public

    The project aims to develop a reliable method for detecting COVID-19 in patients by analyzing chest X-rays. Developing Deep Learning systems for detecting COVID-19 in patients using three CNN archiโ€ฆ

    Jupyter Notebook 1 1

  3. Climate-Change-Twitter-Sentiment-Analysis Climate-Change-Twitter-Sentiment-Analysis Public

    Project aimed to analyze the opinion(sentiment) of people by performing sentiment analysis on tweets by Twitter users on the topic of Climate Change.

    Jupyter Notebook

  4. Face-Mask-Detection Face-Mask-Detection Public

    A Convolutional Neural network trained to detect whether the person an image or video captured is wearing a Face mask or not.

    Jupyter Notebook

  5. Recolored-Image-Detection Recolored-Image-Detection Public

    A novel deep learning approach for detecting whether an image is recolored or not

    Jupyter Notebook 3 2

  6. Online-Voting-System Online-Voting-System Public

    Online Voting System: An alternate platform to conduct Elections online using Java Servlets,JSP,MySQL

    Java 7 3