Samiksha Rawool

I’m an AI/ML trainee focused on turning data into reliable, real-time solutions. Through intensive training, I strengthened my Python and Data Science fundamentals and gained hands-on practice with Pandas and NumPy for practical data manipulation and analysis.

At TNS India Foundation, I completed structured learning in Python programming and industry-relevant technologies. I use that foundation to build systems that are both accurate and usable—especially where verification, prediction quality, and deployment matter.

In my projects, I built a real-time fraud detection and listing verification system using ResNet50, EasyOCR, and DeepFace, then delivered it as a full-stack app with MERN and JWT authentication. I also created an end-to-end heart disease prediction application with FastAPI and scikit-learn, and improved medical reliability by optimizing the prediction threshold to reduce false negatives.

I continue to develop production-ready ML products, including an equipment output prediction dashboard with XGBoost, Streamlit, and Docker. Beyond AI, I’ve built a financial management app in Java using OOP principles, and I contribute through leadership as an ACES department magazine editor—coordinating contributors and managing end-to-end publication.