A modularized SDK library for Amazon Selling Partner API (fully typed in TypeScript)
Understand how your brand shows up in LLM responses.
A Visual social listening engine using Python, YOLOv8, and MySQL. analyzes user generated content to detect brand logos and consumption contexts for marketing insights.
Track brand visibility inside AI-generated recommendations from LLMs like Gemini by analyzing mentions, sentiment, and competing brands.
Real-Time Social Media Sentiment Analysis Pipeline using PySpark and TextBlob NLP. Classifies brand mentions as POSITIVE NEGATIVE or NEUTRAL. Built with Python MySQL Hadoop HDFS PySpark Hive and Apache Airflow.
Enterprise-grade consumer sentiment discovery engine: ingest multi-platform data, extract themes, score evidence, and generate client-ready DOCX reports.
ML-powered brand detection and market analytics system. Uses TensorFlow 2 object detection and web scraping to monitor e-commerce shelf presence, pricing, and brand visibility.
Web scraping and analysis of sneaker listings from Amazon.sg to uncover pricing, brand strategy, and customer rating insights.
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