Full-Stack Developer (Python/Django) Resume

NADDI MEENAKSHI

824-***-**** **********.****@*****.*** linkedin.com/in/meenakshi-naddi/

SUMMERY

Focused on developing strong programming and problem-solving abilities through practical learning and projects, and looking forward to beginning a career in the software field. EDUCATION

CSE Biju Pattnaik Unervercity Of Technology,Odisha (2021-25) CGPA : 8.8

+2 (Intermidiate) Science CHSE, Odisha (2019-21) CGPA : 7

10th BSE, Odisha (2019) CGPA : 7

SKILL

Languages & Frameworks: Python,Django, JavaScript

Frontend: React.js, HTML5, CSS3

Backend & APIs: REST API, FastAPI, Express.js, Node.js

Databases: MySQL, MongoDB

Tools & Platforms: Git, GitHub, VS Code, Postman

Concepts: OOP, DSA (Python, Java), Web Development, API Integration

Other Skills: Power BI, Problem Solving, Team Collaboration

Soft Skills: Communication, Adaptability, Critical Thinking, Leadership PROJECTS

Airbnb-Style Rental App Node.js, Express.js, MongoDB, Mongoose, EJS, Multer, Cloudinary, Passport.js, Render

Built full-stack web app to browse, filter, upload, and manage Listings, Reviews, and Users with images using MVC architecture, Express Router, and REST APIs.

Integrated MongoDB + Mongoose with schemas, validations, populate (Listings Reviews Users), cascading review deletion, and a robust Review Model.

Added Passport.js authentication & authorization (isLoggedIn, isOwner, isReviewAuthor), sessions, signed cookies, flash messages, and res.locals.

Enabled secure image upload/update/delete using Multer + Cloudinary; applied server/client validations, custom errors, centralized error-handling, wrapAsync, and Mongoose error handling.

Designed responsive UI with EJS, CSS, dynamic search, filters, and switch-based sorting; deployed on Render with GitHub auto-deployment and environment variables.

Strengthened skills in backend architecture, middleware design, debugging, REST API handling, database relationships, and secure production deployment.

Enhanced application reliability through modular code structure, reusable middleware, and optimized database queries using Mongoose.

Credit Card Defaulter Prediction Python (scikit-learn, pandas, matplotlib), HTML, CSS, JS

Built a machine learning model to predict potential credit card defaulters using historical finacial data.

Trained models using Logistic Regression, Decision Tree, and Random Forest algorithms

Implemented CRUD (Create, Read, Update, Delete) functionalities for both students and book management modules.

Evaluated performance using accuracy, precision, recall, F1-score, and confusion matrix, achiving 92% accurancy.

Provides actionable insights for finacial instructions to minimize default risk and improve credit decision-making.

YouTube Clone Django, HTML, CSS, JavaScript

Implemented video upload and playback functionality using Django’s file handling and media management system.

Designed a responsive user interface using HTML, CSS, and JavaScript for smooth video browsing across devices.

Optimized media loading and playback performance for faster video streaming

Designed secure video upload functionality with proper file handling and storage.

Added features like video listing, detail pages, and search filters for better user experience. Country Info Django, REST API, HTML, CSS, JavaScript

Built a Country Information Web App using Django that fetches and displays real-time details such as population, capital, currency, languages, region, and flags.

Integrated REST APIs (e.g., REST Countries API) to retrieve structured JSON data and dynamically render it on the UI.

Implemented API consumption logic using Django views and JavaScript to handle asynchronous data fetching.

Designed responsive and user-friendly templates using HTML, CSS, and JS for smooth interaction across devices.

Added features like search functionality, allowing users to look up countries by name.

Parsed and displayed data in a clean format using dynamic templating, improving readability and user experience.

Enhanced understanding of RESTful API integration, JSON handling, and data presentation in Django.

Strengthened debugging skills by handling API response errors, invalid inputs, and network issues gracefully.

ACHIEVEMENTS & CERTIFICATIONS

Secured 1st PLACE in a college-level debate competition

Mearn Stack Certification – Apna College

AI Tools Certification – Be10x

Power BI Certification – Jatan Sah

Artificial Intelligence Training – Accmegrade

Python Full Stack Training – PySpiders

ADDITIONAL INFORMATION

Languages: English, Hindi, Odia, Telugu

Hobbies: Drawing, Painting, Gardening

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