WELCOME TO MY PORTFOLIO

Hii,I am Kalpana Bhogathi. I am
ML and Data Science Enthusiast

I am Currently Studying 3rd Year B.Tech majoring in Computer Science Engineering and Business Systems at Rajeev Gandhi Memorial College Of Engineering. I am proficient at C,Python,Java Programming Languages.My academic projects as Face Recognition,image Classification,Age and Gender Prediction ,House Price Preiction etc and internships have equipped me with hands-on experience in building and deploying data-driven models. I am also having knowledge on Frontend-Technologies.Actively seeking Internship Opportunities in AI/ML,DataScience and Webdevelopment.

Education

B.Tech Computer Science Engineering and Business Systems

Rajeev Gandhi Memorial College Of Engineering and Technology, Nandyal

CGPA: 8.5

2022-2026

Pre University Course - M.P.C

IIIT,RGUKT UNIVERSITY RKVALLEY,Idupulapaya.

CGPA: 8.9

2020-2022

SSC

Z.P.High School, Kesepalli

CGPA: 9.8

2016-2020

INTERNSHIPS

Machine Learning Intern at SkillDzire,Remote.

It is a two months Internship from may 2024 to July 2024.Achieved 80% accuracy in Face Recognition Model ,built by using Open CV, CNN Network, Deep Learning Technologies.Developed House prediction and Email Spam classification Model that did predict House prices and whether mail is Spam or not using various ML and DL Algorithms to get better performance of model

WebDeveloper Intern at CodSoft,Remote

It is one month Internship from Decemner 2023 to 2024.Designed a Food Website and Product Landing Webpage as Per Requirements using HTML, CSS, Java Script and give animations to the webpages. Designed a simple calculator using HTML, CSS, Java Script

PROJECTS

Gender and Age Prediction For Horror Movies in Theatres

Created a model to predict gender and age from images using deep learning techniques, including convolutional neural networks (CNNs). Improved user personalization and analytics through accurate demographic insights.It achieves greater accuracy of 75%.

Face Recognition

Developed a robust face recognition system utilizing Convolutional Neural Networks (CNN) to accurately identify individuals from a dataset of 40 unique faces with each 10 different expressions. The project involved using Python, TensorFlow, Keras, and OpenCV to implement the CNN for feature extraction and classification. This project demonstrated high accuracy and efficiency in recognizing faces, showcasing my skills in machine learning and deep learning.

Email Spam Classification

Developed a machine learning model to accurately classify emails as spam or not spam using techniques like Naive Bayes,Random Forest and SVM. Enhanced email security by effectively filtering out unwanted messages.

click here for more projects.....

SKILLS

Programming Languages

Soft Skills

Collaboration
Communication
Time Management
Problem Solving

Frontend-Technologies

Data Science

Certifications

Career Essentials in Software Development by Microsoft and LinkedIn
Career Essentials in Generative AI by Microsoft and LinkedIn
Data Science - Machine Learning Course by HARVARD UNIVERSITY
SQL by HackerRank
Python for Problem Solving - 1 by CodeChef
Frontend HTML by Great Learning Academy
Introduction to Java Programming: Fundamental Data Structures and Algorithms by UC3Mx
Introduction to Data Science by Infosys Springboard

Extracurricular Activities

Actively participated in coding contests regularly on LeetCode, CodeChef, HackerRank, etc.
Secured 2nd rank in the Paper Presentation Event on Face Recognition in the event of AMOGHA 2024.
Attended a 5-day workshop in Web Development conducted by CodeatRandom.
Secured 2nd rank in the Coding Contest in the event of “ADVITIYA-2K24”
Actively working as a group member of the Turing Hub (DSA Club) of RGMCET.