BHUSHAN PURKAR

Web development professional with expertise in Node.js, MongoDB, HTML, CSS, and JavaScript. Experienced in volunteer projects that deliver responsive web applications and prioritize accessibility and user experience. Committed to utilizing web technologies for effective real-world solutions.

• Microsoft Azure Fundamentals: successfully completed with 88.5% (885/1000)
• Simplilearn - Getting started with full stack Java development - completed
• Oracle Cloud Infrastructure 2025 Foundation Associate - in progress

I have executed the projects listed below with successful completion

Developed a machine learning model in Python to predict diabetes risk using a Kaggle dataset with health parameters such as glucose level, BMI, age, and insulin levels, performed data preprocessing including handling missing values, feature scaling, and exploratory data analysis to identify key health indicators, implemented predictive models using Scikit-Learn (e.g., logistic regression, random forest), and optimized performance through hyperparameter tuning, created interactive visualizations with Matplotlib and Seaborn to display trends, feature importance, and model results, built a user-friendly web application with Streamlit, allowing users to input their health data and receive real-time predictions with confidence scores, and integrated visual outputs (e.g., bar charts, probability distributions) to enhance the interpretability of predictions

Here’s a concise, resume-friendly summary for your "SymptoLog – Real-Time Health Diary + Alert System" project: Developed a MERN stack health monitoring application, enabling users to log daily symptoms, mood, and pain levels, and implemented AI-driven pattern detection to identify potential health risks and trigger emergency alerts
Integrated real-time dashboard and push notifications for users and caretakers using Socket.IO.
Designed MongoDB schemas and REST APIs for secure data storage, user authentication, and role-based access

User interface: Designed a clean and responsive layout using HTML and CSS to ensure optimal usability across devices, API integration: Utilized a weather API to fetch real-time weather data, displaying information such as temperature, humidity, and weather conditions, dynamic updates: Implemented JavaScript to handle user input and dynamically update the displayed weather information based on location searches

User interface: designed a clean, responsive layout with HTML and CSS for easy navigation, QR code generation: utilized JavaScript libraries to generate QR codes based on user input, image adjustment: implemented options for users to customize the QR code's size and color for personalization, download feature: enabled users to download the generated QR code as a JPEG image for easy sharing and printing

Backend development: built a RESTful API using Express to handle HTTP requests for data management, ensuring proper routing for different operations, database integration: utilized MongoDB for data storage and retrieval, implementing Mongoose for schema definition and data validation, routing management: implemented routing to organize different endpoints for creating, reading, updating, and deleting resources, improving code maintainability, HTTP method handling: controlled HTTP calls using Express methods – GET, POST, PUT, DELETE – to manage data operations and respond appropriately to client requests, error handling: incorporated error handling to manage potential issues during database operations, providing clear feedback for users

URL shortener: Implemented functionality to generate unique short links for long URLs, storing them in a MongoDB database, Express routing: Utilized Express to handle routing for creating, retrieving, and redirecting shortened URLs efficiently, Routing and middleware: Designed Express routes to handle requests for creating, retrieving, and redirecting URLs, with middleware for input validation and error handling