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I’m a web developer who builds responsive, user-friendly websites. I explore AI to solve real-world problems and make machines smarter. I value simple content structure, clean design patterns, and thoughtful interactions. With a passion for data science, I turn raw data into meaningful insights.
Hello! I'm Meghana Choudhary Doddapaneni.I’m a passionate Full Stack Web Developer and AI/ML Enthusiast.
I specialize in creating intelligent, user-centric applications using modern technologies like .NET Core, Angular, Python, and cloud platforms like Azure and AWS.
I enjoy crafting efficient, scalable systems and turning ideas into real-world, impactful solutions.
Bachelor of Technology in Computer Science and Information Technology
(Aug 2021 - June 2025)
CGPA : 9.62 /10.0
Intermediate (MPC)
(Aug 2019 - May 2021)
Percentage : 98.4%.
SSC(10th Standard)
(Aug 2018 - May 2019)
Percentage : 90.5%.
HTML
CSS
JS
TAILWIND
REACTJS
NEXTJS
NODEJS
GITHUB
GIT
C
C++
.NET
DJANGO
DATA SCIENCE
MACHINE LEARNING
BOOTSTRAP
SQL
POSTMAN
ANGULARJS
C#
FLASK
AI
SWAGGER
Developed CNN-based models achieving 95.7% accuracy for subtype classification of lymphoma cancer using biopsy image datasets. Used image normalization and compared models including SVM and Naive Bayes.
Built CNN model to classify lung CT scans into normal, benign, and malignant classes. Achieved 95.2% accuracy using 18,000+ scans. Visualized model performance with ROC and confusion matrix plots.
Built a business intelligence dashboard in Power BI using MySQL. Performed full ETL and data cleaning to visualize sales trends, regional performance, and monthly growth for decision-making.
Designed and developed a fully responsive personal portfolio website using HTML, CSS, JavaScript, and AOS animations. Showcases skills, resume, projects, and contact form with smooth user experience and SEO-friendly structure.
Feb 2025 – Jun 2025
Built a Cargo Management System using .NET Core and Angular. Developed shipment and user modules with EF Core for database access and RESTful APIs. Managed Agile sprints and CI/CD pipelines via Azure DevOps.
