Applied AI & Data Science

Structured Solutions, Clean Execution

Explore a portfolio of software applications and AI/ML models, built with a focus on clear problem statements and robust implementation.

Key Builds

AI & Data Science Internship Projects

Machine Learning

Predictive Analytics Dashboard

Developed an interactive dashboard for sales forecasting using advanced regression models and time-series analysis. Integrated with real-time data streams for dynamic insights. Technologies: Python, Scikit-learn, Streamlit, PostgreSQL.

Natural Language Processing

Sentiment Analysis Engine

Designed and implemented an NLP engine for real-time sentiment analysis of customer reviews. Utilized deep learning models to achieve high accuracy in sentiment classification. Technologies: Python, TensorFlow, NLTK, FastAPI.

Computer Vision

Object Detection System

Built a robust object detection system for industrial quality control, capable of identifying defects with high precision using YOLOv5. Optimized for edge device deployment. Technologies: Python, PyTorch, OpenCV, Docker.

— Full Portfolio

Web Apps, Python Tools, ML Experiments

A curated selection of personal and academic projects, showcasing diverse technical skills and problem-solving approaches.

E-commerce Web Platform

Automated Data Cleaner

Image Classifier API

Full-stack e-commerce solution with user authentication, product catalog, and secure payment integration. Technologies: React, Node.js, Express, MongoDB.

A Python utility for automated data cleaning and preprocessing, handling missing values, outliers, and format inconsistencies. Technologies: Python, Pandas, NumPy.

Developed a RESTful API for image classification using a pre-trained CNN model. Provides fast and accurate predictions. Technologies: Python, Flask, Keras/TensorFlow.

Interactive Data Dashboard

Cloud-based File Sync

Task Management App

Created an interactive dashboard to visualize complex datasets, enabling users to explore trends and patterns efficiently. Technologies: Python, Plotly, Dash.

Developed a secure, cloud-based file synchronization service with version control and access management. Technologies: Python, AWS S3, Flask.

Built a minimalist task management application with CRUD operations, user authentication, and priority scheduling. Technologies: Vue.js, Firebase, JavaScript.

Review Code, Discuss Architecture

I'm always open to discussing new challenges and collaborating on innovative solutions.