About Me

I am currently in my fourth year pursuing a B.Tech degree in Information Technology at JNTU-GV Vizianagaram. Additionally, I am simultaneously pursuing a B.Tech minors degree in the Electronics and Communication Engineering (ECE) department. My academic journey has been complemented by active involvement in diverse projects, primarily focusing on machine learning. I have also ventured into web development, contributing to a well-rounded practical experience in these domains.

Skills

Experience

Education

  • Machine learning
    Make predictions, and continuously improve performance based on experience
  • Python
    Programming language
  • Seaborn
    Used for visualizing complex datasets with multiple variables
  • SQL
    Managing and manipulating relational databases.
  • Java script
    Web development
  • HTML &CSS
    Building websites
  • Pandas&Numpy
    Python libraries
  • Research- focused Internship
    NIT AP-(05/2023-07/2023)
  • Artificial Intelligence Virtual Experience Program
    Forage(Cognizant)-(07/2023)
  • Sales Force Developer Virtual Internship
    Smart Internz-(08/2022-10/2022)
  • Web designing and Developer Intern
    Sparks Foundation-(07/2022)
  • B.Tech in Information Technology
    Jawaharlal Nehru Technological University Guragada (2020-2024)
  • XII-Intermediate
    Sasi Junior college for womens (2018-2020)
  • High School
    Sasi EM High School (2018)

MY Services

Machine learning Engineering

Developing and deploying machine learning models, designing algorithms, and creating systems that can learn from and make predictions on data

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Data scientist

Analysing complex datasets to extract meaningful insights, identify patterns, and make informed decisions that drive business outcomes.

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Web development

Design and create websites.

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My work

Identifying Criminal Activities Through Scenario Analysis

This research project focuses on leveraging advanced object detection techniques, particularly the YOLO v5 and YOLO v7 algorithms, to enhance the capabilities of computer vision systems. The project extends beyond more object detection, delving into the realm of behavior analysis of culprits post-object detection. By integrating the detected objects into a multi-linear perceptron framework, with feature extraction facilitated by ResNet 50, the project aims to predict abnormal behavior with high accuracy

Brain-Tumor Segmentation

Brain tumor segmentation is the process of identifying and delineating regions of interest corresponding to tumors within brain imaging data, often achieved through advanced techniques in medical image processing and deep learning models.

Loan approval predictions

Loan approval prediction involves using machine learning models to forecast the likelihood of a loan applicant being approved or rejected based on various factors and historical data.

Movie Recommendation systems

Recommendation systems, and interactive widgets to provide a user-friendly movie search

YouTube Analysis using Google API

By leveraging Google API, we extract data from YouTube and conduct analysis on the retrieved information.

Amazon Clone

Amazon clone is a web development project replicating the functionality and design of the Amazon e-commerce platform for learning and practice purposes.

Contact Me

khyathiyadlapalli222423@gmail.com

8106519396

Download CV

Copyright @ Khyathi.