Meghana SR

I’m a recent Bachelor of Engineering graduate majoring in Artificial Intelligence and Machine Learning, with strong coursework across AI, Machine Learning, Data Science, and Data Structures. I’m driven by building models that don’t just work in notebooks, but deliver measurable outcomes.

In my Machine Learning Intern role, I conducted tsunami prediction using supervised and unsupervised ML techniques, achieving 92–95% accuracy. I also worked on stock market prediction, using machine learning to analyze market trends and drive a 20% improvement in investment decision-making. I enjoy taking problems from data to validated performance.

I also take ownership of full solutions and delivery: I led a 10-member executive team, improving annual revenue by 10–15% and reducing operational expenses by 5–10% through strategic planning and partnerships, while championing sustainability. Through projects like stock price prediction (35% improved predictive performance) and an AI-Powered Intelligent Document Processing system (OCR with Tesseract/AWS Textract, NER, BERT/CNNs, REST API via FastAPI, Docker, AWS/Azure/GCP, and monitoring with Prometheus/Grafana), I focus on scalability, evaluation quality, and practical deployment. My disaster-focused crowd management system used YOLO v8 with heatmap visualization, improving response time by 25% for better decision-making.