About
"Hi, I’m Kavikumari, and I’ve recently completed my BTECH in Computer Science/Engineering from Rajiv Gandhi College of Engineering and Technology. During my academic journey, I developed a strong foundation in Python, web development, data structures, and I’ve also worked on projects like building a web application .
FullStack Python Developer& Web Developer.
"Hi, my name is Kavikumari , and I am a Full Stack Python Developer in building web applications. I specialize in developing dynamic, scalable, and responsive applications using Python on the back-end, particularly with frameworks like Django and Flask, and have solid front-end skills in HTML, CSS, JavaScript, and modern libraries such as React/Angular/Vue.
- Birthday: 19 Dec 2001
- Website: Kavikumari.pages.dev
- Phone: +91 8098639303
- City: Pondicherry
- Age: 23
- Degree: Bachelor of Technology
- Email: kavik19122001@gmail.com
- Freelance: Available
While I may be newuy to the industry, I’m highly motivated and eager to apply what I’ve learned. I’m passionate about [specific areas of interest, e.g., full-stack development, problem-solving, or coding], and I’m excited to contribute to a team where I can continue learning and growing."
Skills
Whether leading a team or working independently, my communication skills help keep everyone aligned.
Resume
Computer Science Engineering student with hands-on experience in software development, algorithms, and database management. Proficient in programming languages such as Python, Java, and C++, and skilled in web development using HTML, CSS, and JavaScript. Successfully completed several academic and personal projects, including building a machine learning model and developing a full-stack web application. Currently seeking an internship in software engineering to apply technical skills in a professional setting and contribute to innovative solutions.
Sumary
Kavikumari
Innovative and deadline-driven Web Developer and building a web application
- Thavalakuppam , Puducherry
- +91 8098639303
- kavik19122001@gmail.com
Education
Bachelor of Technology & Computer Science Engineering
2019-2023
7.55 cgpa
Rajiv Gandhi College of Engineering and Technology
- "I've gained strong foundational knowledge in computer science through my degree. I've worked extensively with programming languages like Python, Java, and C++, focusing on writing efficient code..
- For example, in my Data Structures and Algorithms course, I implemented various algorithms like Dijkstra’s for shortest path problems, which helped me better understand how to optimize performance.
- I've also learned software engineering principles, including design patterns and version control using Git.
- I completed a project on Stock Trend Prediction using News Sentiment Analysis where I applied full-stack development skills to build a scalable web application."
Academic years
HSC
2019 - 69%
Sri Sankara Vidyalaya Higher Secondary School
SSLC
2017 - 89%
Sri Sankara Vidyalaya Higher Secondary School
Certificate Courses
Data Analytics
2023 - 90%
Google Coursera
- Foundations: Data, Data, Everywhere
- Ask Questions to Make Data-Driven Decisions
- Prepare Data for Exploration
- Process Data from Dirty to Clean
- Analyze Data to Answer Questions
- Share Data Through the Art of Visualization
- Data Analysis with R Programming
- Google Data Analytics Capstone: Complete a Case Study
Python Full Stack Developer
2024 - 89%
Fita Academy
- Python
- Django Framwork
- SQL
- HTML
- CSS
- Bootstrap
- javascript
- Angular JS
PROJECTS
Stock Trend Prediction Using News Sentiment Analysis
Prediction and analysis of the stock market have an important role in today’s economy. The decision to buy or sell shares in the stock market is a challenging task for investors. Different linear (AR, MA, autoregressive integrated moving average (ARIMA), and ARMA) and nonlinear models (ARCH, GARCH, and neural network) have been developed for stock forecasting. However, successful stock market prediction is still difficult. Different factors influence stock market movement, including news articles and social media data. Our proposed method integrates news sentiment scores into a statistical prediction model (BST) to identify the influence of news sentiment on stock market movement and forecast volatile stock trends more accurately
Contact
If you have any queries about my resume , you can send me a message from here