👋 Hi there! I'm Balla Aarathisree, a passionate individual deeply interested in the realms of machine learning and data science. With a solid foundation in Java, C, Python, HTML, and CSS, I enjoy crafting solutions that blend creativity with technical precision. My journey into the world of data analytics has been exhilarating, allowing me to leverage tools like Power BI to unearth actionable insights from complex datasets.
🧠 My expertise lies in machine learning, where I thrive on exploring algorithms, building predictive models, and unraveling patterns hidden within data. From classification to regression and deep learning, I'm driven by the potential of machine learning to transform industries and drive innovation.
💻 Currently, I'm immersed in projects that merge my programming prowess with my passion for data. Whether it's developing intelligent systems, analyzing trends, or creating interactive visualizations, I'm constantly seeking opportunities to push the boundaries of what's possible in the data-driven landscape.
🌟 Let's connect and explore the endless possibilities at the intersection of machine learning, data science, and technology. Whether you're looking to collaborate, exchange ideas, or simply geek out about the latest advancements in AI, I'm always eager to engage in meaningful conversations and embark on exciting ventures together.
I'm always looking to refine my presentation. Take a moment to view my resume : https://rb.gy/x4qgla
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🔭 I’m currently studying Bachelor of Technology in Data Science
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🌱 I’m currently learning Machine Learning
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📫 How to reach me [email protected]
🚀 Whether it's developing web applications, implementing machine learning algorithms, or crafting data visualizations, I thrive on the challenge of turning ideas into reality. Each project I undertake is an opportunity to learn, grow, and make a meaningful impact.
💡 Here are some of the projects where I have applied my skills learnt so far:
- Crop Recommendation System: A self made website using Machine Learning ALgorithms(Decision Tree and Random Forest) for crop and fertilizer predcition respectively. Along with Python ML, the project was implemented using HTML&CSS, Javascript and Flask for Frontend and Backend followed by MySQL to connect databases (for feedback). Link = https://crop-recommendation-system-app.onrender.com/
- Plagiarism Detector: This is a simple project that allows the user to compare two files to check plagiarism percentage. Link = https://plagarismdetector-by-aarathi1535.streamlit.app/
- Graduate Admission Predictor: In this project a student can know if they are eligible to take up graduation admission using their GRE Score, TOFEL Score and other important criteria to evaluate. Link = https://graduate-admission-predictor-byaarathi1535.streamlit.app/
- Email Spam Detection: Here is where any person can access the website to check if the mail they received is spam or ham. Link = https://emailspamdetection-byaarathi1535.streamlit.app/
- Rock Paper Scissors Game: This is a fun game to play rock-paper-scissors against the computer. Link = https://rockpaperscissors-i91f.onrender.com
- Password Generator: A basic python project where in computer generates a password fulfilling all the criteria. Link = https://github.com/Aarathi1535/Password_Generator
- Instagram Account Details Fetcher: Here a person can stalk the count of followers,posts and following users using an instagram username. Link = https://github.com/Aarathi1535/Instagram_Account_Details_project
- Calculator: A simple mathematical calculator using tkinter python. Link = https://github.com/Aarathi1535/Tkinter_program
- Phone Number Details: This is a python project where a person can fetch details using a phone number. Link = https://github.com/Aarathi1535/Phone_Number_Details
- Titanic Survival: This is a machine learning based project to check the survival rate in titanic crash. Link = https://github.com/Aarathi1535/Titanic_survivals_ml_project
- Breast Cancer Diagnosis: A predictive model that tells the chances of breast cancer by taking some required medical information as input. Link = https://github.com/Aarathi1535/BreastCancerDiagnosis-MLProject
- Iris Classification: This model classifies the iris flower dataset. Link = https://github.com/Aarathi1535/Iris-CLassification---ML--Project
