Summary
Overview
Work History
Education
Skills
Projects
Certification
Publications
Websites
Languages
Hobbies and Interests
Timeline
Generic
Vejella Charith Varma

Vejella Charith Varma

Ocity

Summary

An Undergraduate student at the SRM Institute of Science and Technology, undertaken the Artificial Intelligence Course. Primarily looking for good job opportunities.

Overview

1
1
Certification

Work History

Machine Learning Intern

VERZEO EDUTECH
10.2022 - 11.2022
  • In this Internship I successfully completed the Banking Behavior Scorecard Project from Zebo.ai in association with Verzeo Edutech.
  • Collaborated with a 4 member team we loaded training and test data from CSV files and preprocesses it by handling missing values.
  • Applied t-SNE for dimensionality reduction, saving the results if no missing values are present.
  • Trained multiple classifiers, including Logistic Regression, Random Forest, and XGBoost, on the training data.
  • Evaluated model performance using F1 Score and Log Loss, logging results for comparison.
  • Generated a report of accuracy, precision, recall, and F1 Score for the best-performing model.
  • Used Grid Search to optimize class weights for a Decision Tree classifier to improve performance on imbalanced data.

Education

B-Tech - Artificial Intelligence

SRM Institute of Science and Technology
06.2024

Intermediate Education -

FIITJEE Junior College
04.2020

Class X -

Shikara EM High School
04.2018

Skills

  • C Language
  • C Language
  • Python
  • SQL
  • Html & CSS
  • Machine Learning

Projects

Helmet Detection using YOLOv5

  • Label Images For Object Detection with CVAT
  • Data Preparation according to yolo, Used Roboflow for quick and easy process.
  • Project has been totally developed using the YoloV5 pretrained model.


Music Genre Classification 

  • The GTZAN genre collection dataset was collected in 2000-2001. It consists of 1000 audio files each having 30 seconds duration. There are 10 classes (10 music genres) each containing 100 audio tracks, each track in .wav format.
  • Feature Extraction - MFCC (Mel Frequency Cepstral Coefficients).
  • Project has been done using three different models, Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks(LSTM).

Certification

  • Mathlab Fundamentals, MathWorks Training Services
  • Python Essentials 1, Cisco Networking Academy
  • Learn Python Programming from Scratch, Cisco Networking Academy
  • Create a GUI with Python, Coursera

Publications

A comparative analysis of early stage Diabetes Mellitus prediction using machine learning approach., IJSREM, 10/15/22

Languages

English
Telugu
Hindi

Hobbies and Interests

  • Problem Solving
  • Music
  • Video Games

Timeline

Machine Learning Intern

VERZEO EDUTECH
10.2022 - 11.2022

Intermediate Education -

FIITJEE Junior College

Class X -

Shikara EM High School

B-Tech - Artificial Intelligence

SRM Institute of Science and Technology
Vejella Charith Varma