Aspiring Computer Science Professional with Internship Experience

VEDHASRI R

*/***, ************,**************,************ -637 205

637-***-**** ***************@*****.***

Personal Details

Date of Birth 02/02/2004

Nationality Indian

Education

Course / Degree School / University

Grade /

Score

Year

SSLC Government higher secondary school 62% 2019-

2020

HSC Government higher secondary school 60% 2020-

2021

B.sc.computer

science

Vivekananda College of arts and science for

women (AUTONOMOUS) 78% 2022-

2025

Experience

Data Structure & Algorithms System

01/08/2024 - 01/09/2024

VENPA STAFFING SERVICE INDIA PRIVATE LIMITED

Internship Listings: Websites like Indeed and Intemshala have multiple openings for Data Structures & Algorithms internships across different locations and companies. Computer Science Internships: Platforms like Sanfoundry offer structured internship programs, including roles focused on Data Structures & Algorithms. Al & ML Internships: Some internships also integrate Data Structures & Algorithms with Machine Learning, which could be a great fit given your experience in Python and data analysis.

Projects

Sentimental Analysis Social Media Presence

Social media sentiment analysis uses AI and Natural Language Processing (NLP) to gauge public feeling (positive, negative, neutral) about brands, products, or topics from user- generated text, going beyond simple likes to understand deeper emotions and opinions, crucial for real-time reputation management, marketing, crisis response, and enhancing engagement by understanding what truly resonates with audiences. HEART DISEASE PREDICTION MACHINE LEARNING USING PYTHON Predicting heart disease with Python ML involves using libraries like Scikit-learn, Pandas, and NumPy to build classification models (e.g., Logistic Regression, SVM, Random Forest) on healthcare datasets (like Cleveland heart disease data) to classify patients as having heart disease (1) or not (0) based on clinical features like age, sex, blood pressure, and cholesterol. The typical process includes data collection, preprocessing (cleaning, handling missing values), feature engineering, model training, evaluation (accuracy, confusion matrix), and sometimes creating a GUI for user interaction, aiming for high accuracy in predicting cardiac risk.

Objective

I am a motivated and detall-oriented Computer Science student with a strong foundation in programming, softwere development and machine learning. My skits include proficiency in Python, Java, and C++, as well as expenence in both frontend and backend wen development. I am passionate about problem-solving and techerical innovation, and I activwy apply my knowledge Ivough hande-on projects such as chatbot development disease prediction systems, and game appications. My approach to leaming balancws creativity and analytical thinking alowing me to develop efficient and practical solutions. I am eager to enhance my expertise and explore now challenges in the field of technology Skills

•Microsoft office •C•C++•PYTHON•HTML •CSS•OS

Interests

Kabaddi, athletes

Activities

ONLINE CERTIFICATION: NPTEL: Python for data science IIT Bombay: HTML, Java, Python

(JEC) Japan India Skill Development Program OFFLINE CERTIFICATION: Value Added Course: Go Programming Language, Cyber Security GUVI-SAWIT.AL Learnathon Program Sports - Pyramid

Languages

•Tamil •English

Contact this candidate