Skills
Python
Flask
Django
MySQL
React
JavaScript
Pandas
Seaborn
Scikit-Learn
HTML
CSS
Bootstrap
Java
Git
💻 I build modern web and desktop applications with Python, Django, Flask, MySQL, and Tkinter, combining robust backends, seamless database integration, and intuitive user interfaces.
Download ResumeI am a self-made developer passionate about transforming ideas into robust, scalable, and user-friendly software solutions. With a strong foundation in Python and backend development, I enjoy tackling real-world challenges by crafting intuitive and efficient applications. I also have a keen interest in data science and machine learning, where I analyze data and build predictive models to unlock valuable insights and drive smarter decisions.
I specialize in backend development using Python, Flask, and Django, building secure APIs, integrating databases, and powering scalable applications.
I develop cross-platform desktop applications using Python and Tkinter, with custom UI designs for intuitive and user-friendly experiences.
I design and integrate databases using MySQL and SQLAlchemy, ensuring efficient data storage, secure access, and seamless application connectivity.
I create and integrate RESTful APIs using Flask and Django with secure endpoints, database connectivity, and third-party service integration.
I build AI-powered solutions using RAG, NLP, Hugging Face models, sentence transformers, FAISS, and API integrations.
I perform data analysis, visualization, and build predictive models using Python, Pandas, Scikit-learn, and other ML techniques.
Python
Flask
Django
MySQL
React
JavaScript
Pandas
Seaborn
Scikit-Learn
HTML
CSS
Bootstrap
Java
Git
Tech Stack: Python, Pandas, Scikit-learn, Seaborn.
Built a CKD prediction model using Logistic Regression with feature selection, performing data preprocessing and evaluation for accurate disease risk prediction.
Tech Stack: Flask,TMDB API, pandas, scikit-learn, asyncio.
Developed a Flask Movie Recommendation System using TF-IDF and cosine similarity, integrating TMDB API for real-time movie suggestions.
Tech Stack: Pandas, NumPy, Matplotlib, Scikit-learn.
Developed a price prediction model using Linear Regression in Python, analyzing data to predict accurate pricing and understand key influencing features.
Tech Stack: Pandas, NumPy, Seaborn, Scikit-learn.
Built a Linear Regression model to predict yearly customer spending based on app/website usage, membership duration, and session frequency.
Tech Stack: Streamlit, Pandas, NumPy, Seaborn, Scikit-learn.
Built a Streamlit ML app to predict life expectancy using Linear Regression & Random Forest, with EDA, correlation analysis, and model evaluation.
Tech Stack: Python, RAG, HuggingFace, FAISS.
Built an AI-powered Q&A chat app with PDF support using RAG, Sentence Transformers, FAISS & Hugging Face, enabling natural language queries with accurate context-based answers.
Tech Stack: Python, Flask, OpenRouter API.
AI-powered Resume Analyzer for HRs that extracts skills, evaluates projects, matches resumes to job descriptions, and suggests suitable roles for faster, smarter candidate assessment.
Tech Stack: Python, MySQL, Flask, SQLAlchemy, HTML, Bootstrap.
Developed a full-stack application with user authentication, role-based access control, secure database integration, and dynamic features for a seamless end-to-end experience.
Tech Stack: Flask, HTML, Bootstrap.
Developed a Flask-based blog application with CRUD functionality, leveraging Flask-WTF and SQLAlchemy for form handling and database management.
Tech Stack: Python, Tkinter, MYSQL
Developed a Hospital Management System to manage patient records, appointments, and staff details using Python with MySQL database integration for efficient data handling.
Tech Stack: Python, Tkinter, TMDB API
Built a desktop application with Python and Tkinter that fetches movie details such as title, cast, and more using the TMDB API, providing users with real-time movie information.