I am a passionate and result-oriented individual recently graduated B. Tech in Artificial Intelligence & Data Science. With a solid foundation in AI, machine learning, data analysis, and frontend development, I have worked on impactful projects such as Parkinson’s Disease Stage Prediction and a Multilingual Legal AI Assistant. I possess expertise in HTML, CSS, JavaScript, jQuery, and Git, along with proficiency in Python for data analysis. My experience includes using advanced tools like Power BI, Tableau , Visual Studio, Jupyter Notebooks, and Kaggle, enabling me to deliver high-quality solutions efficiently. I excel in statistical analysis, data visualization, and building user-centric applications, combining both my data analysis and frontend development skills. I am committed to continuous learning and staying updated with the latest technologies to ensure my work is cutting-edge and impactful.
As a versatile Data Analyst and Frontend Developer, I bring a unique blend of technical skills across both web development and data science. Proficient in HTML, CSS, JavaScript, jQuery, and Git, I excel at building responsive and user-friendly web applications. My expertise extends to data analysis and machine learning, with Python as my primary language for extracting insights from data. With hands-on experience in tools like Visual Studio, Jupyter Notebooks, and Kaggle, I am equipped to handle complex projects efficiently. I also specialize in statistical analysis and data visualization, translating complex data into actionable and intuitive visual solutions. My passion for learning keeps me updated on the latest advancements, ensuring my work stays at the forefront of technology.
Virtual try on with recomendation system
Role : Model Building
Software used : Colab , Blender , SnapAR
It is developed to accurately suggest appropriate products to customer based on their details , employed unsupervised learning
algorithm and image recognition framework to enhance precision of the model.
Parkinson’s disease stage prediction
Role : Developer
Software used : Visual Studio , FastAPI , CV
This project uses AI to predict the stage of Parkinson's disease by analyzing a patient's gait using Mediapipe and ML algorithms like KNN. It assists in diagnosing and tracking disease progression, enabling more personalized treatment plans.
Multilingual Legal AI Assistant
Role : Developer
Software used : Visual Studio, FastAPI
This project uses advanced NLP and deep learning techniques to provide real-time legal assistance in multiple languages. It focuses on enhancing accessibility, by making legal information more understandable and widely available, making legal help more inclusive and efficient.
HR Analytics Dashboard
Role : Analyst
Software used : Power bi, Power Query, Excel
Excel-based dashboard designed to help HR professionals and organizations analyze and visualize key metrics related to employee attrition. The dashboard provides insights into factors such as job satisfaction, attrition rates, and other critical HR metrics.
Task Manager using jQuery
Technology used : HTML , CSS, Javascript , jQUERY
This is a simple Task Manager web application built with HTML, CSS, and JavaScript (jQuery). It allows users to add, edit, mark as complete, and remove tasks. The application also features a modern user interface with a background image and smooth task management interactions .
sign language recognization
Technology used : HTML , CSS, Javascript , jQUERY
This is a simple Task Manager web application built with HTML, CSS, and JavaScript (jQuery). It allows users to add, edit, mark as complete, and remove tasks. The application also features a modern user interface with a background image and smooth task management interactions .
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