Jayavarshini.JV

Hello, I'm Jayavarshini.JV .

Hello, I’m Jayavarshini — A recent Computer Science graduate with strong communication ,Problem solving and analytical skills. I’m passionate about building clean, user-friendly applications and transforming ideas into meaningful solutions using modern web technologies. I am quick learner motivated and committed to continuous learning and enjoy working on projects that deliver real-world impact.I am eager to contribute to a dynamic organization where I can apply my academic knowledge and technical skills, creativity, and problem-solving mindset. I am a quick learner, highly motivated, and passionate.

Download My CV (PDF)

Get In Touch
Your Profile Picture

Education Timeline

  1. B.Tech in Computer Science

    Dr.MGR Educational and Research Institute

    CGPA: [8.55/10.0]

    Percentage: 80.79 %

  2. Higher Secondary Education

    Velammal Vidhyashram

    CBSE

    Percentage: 78.8%

  3. High School Education

    Kavi Bharathi Vidyalaya

    CBSE

    Percentage: 65.4%

Technical Skills

Front End

  1. HTML
  2. CSS/Tailwind
  3. JavaScript
  4. React.js
  5. UI/UX

Back End

  1. Node.js
  2. Express.js
  3. Sqlite3
  4. Mongo DB
  5. Python

Course Related Work

  1. Data Structures and Algorithms
  2. Machine Learning Fundamentals
  3. Database Management Systems
  4. Web Technologies
  5. Artificial Intelligence Concepts

Data Science & ML

  1. Pandas
  2. NumPy
  3. Scikit-learn
  4. NLP
  5. Data Cleaning
  6. EDA
  7. Predictive Modeling
  8. ETL
  9. Financial DataAnalysis
  10. Data Visualization

Tools & Technologies

  1. MS Word
  2. MS EXcel
  3. Power BI
  4. Git
  5. Github
  6. Streamlit
  7. Vercel
  8. Render
  9. Cloudinary
  10. VS code
  11. Amazon Web Service(AWS)

Soft Skills

  1. Communication
  2. Team Collaboration
  3. Analytical Thinking
  4. Problem Solving
  5. Leadership
  6. Growth Mindset
  7. Time Management

Project Showcase

Hoax Detector

Hoax Detector

Python NLP scikit-learn Streamlit

Developed an AI-based NLP model using Python and scikit-learn to classify misleadingcontent.
Integrated Streamlit interface for real-time prediction and user interaction

Live Site GitHub
Resume Screening & Recruitment API

Resume Screening & Recruitment API

Node.js Express.js MongoDB Postman API

By leveraging Natural Language Processing (NLP), this API parses resumes, analyzes job descriptions (JDs), and quantifies the "fit" between a candidate and a role.

Live Site GitHub
Stock Market Data Pipeline

Stock Market Data Pipeline

Python Pandas Yahoo Finance API SQLite Matplotlib

Built a Python-based ETL pipeline to extract stock data from Yahoo Finance, clean and transform it, store it in CSV/SQLite, and visualize trends.

GitHub
Recipe Book

Recipe Book

HTML5 CSS3 Javascript

Designed responsive recipe browsing platform using HTML, CSS, and JavaScript.
Implemented dynamic user interface for smooth navigation and content filtering

Live Site GitHub
Colour Analysis Tool

Colour Analysis Tool

HTML5 Tailwind CSS Javascript

Built an image-based colour analysis tool.
Generated complementary colour palettes and enhanced UI/UX consistency

Live Site GitHub
Dasboard Zomato

Interactive Zomato data analysis Dashboard

Power BI Power Query DAX Excel

Designed an interactive dashboard to visualize key performance indicators (KPIs) for decision-making.

GitHub

Experience

Internship Experience

Data Science Intern – Codetech IT Solutions

2024

  • Analyzed large datasets to identify trends, patterns, and actionable business insights using Python.
  • Performed data cleaning, preprocessing, and transformation using Pandas and NumPy.
  • Developed predictive models for sales forecasting and performance analysis using machine learning techniques.
  • Implemented data visualization dashboards using Power BI and Matplotlib to support decision-making.
  • Applied statistical methods to evaluate model accuracy and optimize performance.
  • Conducted exploratory data analysis (EDA) to uncover hidden correlations and data anomalies.
  • Automated data workflows to improve efficiency and reduce manual processing time.

Data Analytics Intern – MeriSkill

2024

  • Analyzed large datasets and Conducted data cleaning, preprocessing, and transformation using Excel and Python
  • Performed exploratory data analysis (EDA) to identify patterns and business insights
  • Optimized reporting workflows to enhance data interpretation efficiency
  • Performed data cleaning, preprocessing, and transformation using Pandas and NumPy.
  • Conducted exploratory data analysis (EDA) to uncover hidden correlations and data anomalies.

Paper Publications

"Hoax Detector Using Artificial Intelligence"

Bhargavi VD Jayavarshini JV Dr.V. Rameshbabu Dr.T.V. Ananathan INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

View Publication

Certifications

(Click on any certificate to view details)

B.Tech Completion

B.Tech Completion Certificate

NPTEL Data Science

NPTEL - Data Science For Engineers

Red Hat I

Red Hat Administration - I

Red Hat II

Red Hat Administration - II

IBM Python

IBM - Python

IBM Java

IBM - Java

IBM Cloud

IBM - Cloud App Devlop

IBM Business Intelligence

IBM - Buisness Intelligence

IBM Big Data

IBM - BigData Engineer

IBM ML

IBM - ML w/ Watson Studio

IBM AI

IBM - AI Analyst

Chatbot

Chatbot Development

AWS Arch

AWS Architecture Certificate

UI UX

UI/UX

Matplotlib

Python - Matplotlib

HTML CSS

HTML / CSS

TATA Gen AI

TATA Gen AI Data Analytics

Code Up

Code up

Data Science

Data science and Analytics

Power BI

Power BI

Known Languages

English Tamil Telugu

Let's Connect!

I'm open to discussing new projects, job opportunities, or interesting ideas.

Mail ID LinkedIn

Send a Message

Have a specific inquiry or just want to say hi? Fill out the form below.