Experienced AI practitioner leveraging ML, DL and NLP to build intelligent systems. Proficient in Generative AI for creating innovative content.
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ViharaTech
Data Scientist
June 21, 2026 – Present
Food-Classifier-with-Nutrition-Insights-CNN-VGG16-ResNet-
March 24, 2026 – Present
An end-to-end deep learning project that classifies food images into 34 categories and provides nutritional information along with model performance metrics. The system integrates multiple CNN architectures, Redis for fast data retrieval, and a Flask-based web interface for real-time predictions.
View ProjectAutoChurn-An-Automated-Machine-Learning-Pipeline-for-Customer-Churn-Prediction
January 24, 2026 – Present
A complete customer churn prediction system that automates data preprocessing, model evaluation, and deployment to help telecom companies proactively retain customers.
View ProjectMRI-Prediction
December 23, 2025 – Present
This project is an end-to-end Machine Learning application that predicts MRI-related outcomes using clinical input features. The best-performing model selected for this project is Gradient Boosting, based on evaluation metrics. The application includes data preprocessing, model training, evaluation, and deployment using Flask with a web interface.
View ProjectHeart-Disease-Prediction
December 23, 2025 – Present
A web-based machine learning application that predicts the likelihood of heart disease based on patient medical attributes. The project demonstrates an end-to-end ML workflow including data preprocessing, model training, evaluation, and deployment using Flask.
View ProjectCar-Price-Predictions
December 23, 2025 – December 23, 2025
This project predicts the selling price of used cars based on features such as car brand, fuel type, transmission, ownership, kilometers driven, and year of manufacture. The system follows a complete machine learning pipeline including data preprocessing, categorical encoding, feature scaling, model training, and prediction.
View ProjectCalories-Burnt-Prediction
December 18, 2025 – December 18, 2025
Calories burnt prediction is a regression problem commonly used in fitness analytics and healthcare applications. The model estimates calories burnt based on factors such as physical attributes and activity-related parameters. This project focuses on building an accurate and efficient prediction system using structured numerical data.
View ProjectCREDIT-Card-Prediction
December 15, 2025 – December 18, 2025
CREDIT-Card-Prediction — GitHub repository
View ProjectSLR_Project
November 11, 2025 – December 18, 2025
A simple linear regression model that predicts a son's height based on the father's height. Built with Flask, Scikit-learn, and HTML/CSS, this project demonstrates model deployment on Render with an interactive web interface.
View ProjectPython
November 5, 2025 – November 5, 2025
This repository contains my Python practice files covering various topics such as basic syntax, loops, conditionals, functions, data structures, and more. It serves as a personal collection of exercises, mini-projects, and problem-solving code that I’ve written while learning and improving my Python programming skills.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in various data science domains through diverse personal projects (food classification, churn prediction, medical predictions, car price prediction). This breadth of interest aligns with a proactive learning attitude. However, the lack of team-based projects or contributions makes it difficult to assess collaboration or cultural alignment in a professional setting. The listed current role as 'Data Scientist' at ViharaTech with an experience level of 0 and a start date in the future (2026) is contradictory and requires clarification.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on practical application and problem-solving. However, without specific psychometric or English test results, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration. The current experience level is 0, which suggests a lack of professional experience despite the listed current role.