🚀 Updated my personal brand banner to better reflect the direction I’m building toward in AI engineering.
Focused on:
🧠 Machine Learning
👁️ Computer Vision
💬 NLP & Sentiment Analysis
📊 Predictive Analytics
Over the past few months, I’ve been building and deploying AI...
Predictive analytics system designed to analyze employee attrition risk, workforce trends, and retention insights using machine learning and interactive dashboards. The platform helps support data-driven HR decision-making through predictive modeling and business intelligence visualization.
Intelligent sentiment analysis platform that classifies customer reviews using NLP and machine learning. Features include explainable predictions, confidence scoring, keyword highlighting, batch CSV analysis, and an interactive Streamlit interface.
AI-powered steel defect detection system built with TensorFlow, OpenCV, and Streamlit. The application detects and visualizes steel surface defects using deep learning and computer vision techniques, with segmentation masks, bounding box detection, and defect analysis for industrial inspection workflows.
Machine learning dashboard for customer segmentation and business intelligence. Uses clustering algorithms and PCA visualization to group customers into actionable business segments for marketing and decision-making insights.
