Summary
Work History
Education
Skills
Websites
Accomplishments
Disclaimer
Projects
Extracurricular Activities
Timeline
Generic
Durga Bhavani Sakalabattula

Durga Bhavani Sakalabattula

Baltimore

Summary

Dynamic and results-driven intern at Vision Computers, adept at implementing KNN, Naive Bayes, and Decision Trees to enhance model accuracy. Demonstrated strong problem-solving skills and adaptability while developing ensemble models with Adaboost, showcasing proficiency in Python and data evaluation techniques. A quick learner committed to delivering impactful solutions.

Work History

Intern

Vision Computers
06.2023 - 08.2023
  • Implemented and fine-tuned KNN, Naive Bayes, and Decision Trees to address real-world problems and enhance model accuracy.
  • Applied Adaboost to create strong ensemble models, while honing skills in data preprocessing, feature selection, and model evaluation for effective decision-making.

Education

Master of Computer Applications -

P.B Siddhartha College of Arts and Sciences
12.2024

BSC - Computers

Vikas Degree College
12.2022

Class 12th -

Vikas Junior College
12.2019

Class 10th -

Vikas Techno School
12.2017

Skills

  • Python
  • Basics of Machine Learning
  • HTML
  • CSS
  • MySQL
  • Problem solving
  • Time Management
  • Adaptable
  • Quick-Learner

Accomplishments

  • Recognized for active participation in Co-curricular writing and poster activities.
  • Python Certification by CISCO
  • DBMS Certification by Oracle Dev Gym
  • HTML & CSS Certification by Great Learning
  • Privacy and security in online by NPTEL

Disclaimer

I hereby declare that above mentioned particulars are true to the best of my Knowledge.

Projects

Basics of Machine Learning, Vision Computers, 06/01 - 08/28, Implemented and fine-tuned KNN, Naive Bayes, and Decision Trees to address real-world problems and enhance model accuracy., Applied Adaboost to create strong ensemble models, while honing skills in data preprocessing, feature selection, and model evaluation for effective decision-making. Crime Data Analysis Using Machine Learning Models, 07/01 - 08/31, The main objective is to use advanced technology like machine learning and data analysis to understand crime patterns better. By studying historical data, experts aim to predict where and when crimes might happen. This helps law enforcement allocate resources wisely and prevent crime more effectively, making communities safer. Identification of Plant Leaf Disease Detection by using CNN, 05/01 - 06/30, The main objective is to create an automated system that helps identify plant diseases by analyzing their visual symptoms. This system aims to make it easier for farmers to spot diseases early, before they spread widely, and provide accurate information that even experts might miss.

Extracurricular Activities

Participated in Essay Writing on 'Human Rights' Created poster on 'Say No to Ragging' Presented an article on 'Machine Learning based on student performance prediction' Interest in Drawing, learning new skills and languages

Timeline

Intern

Vision Computers
06.2023 - 08.2023

Master of Computer Applications -

P.B Siddhartha College of Arts and Sciences

BSC - Computers

Vikas Degree College

Class 12th -

Vikas Junior College

Class 10th -

Vikas Techno School
Durga Bhavani Sakalabattula