Sai Dheeraj Gummadi is a results-driven Data Scientist with over 2.3 years of experience applying machine learning, deep learning, and NLP in the B2B finance domain. He is proficient in Python and skilled in developing predictive models, notably designing and deploying an AI-based Financial Document Parser. His expertise includes automating data extraction and building end-to-end pipelines using CNN and YOLO.
Experience
Data Scientist
HighRadius
Automated data extraction from financial statements for credit risk analysis, achieving 80% automation rate and reducing manual analysis time by 40%. Designed and developed an end-to-end pipeline using CNN, YOLO, and OCR for extracting tabular regions. Developed an AI-based Claims/Remittances/Invoices Parser, reducing latency by 50% using NLP transformer-based quantized LayoutLM model (94% accuracy). Implemented Payment Date Prediction using Random Forest/XGBoost, achieving 85% accuracy.
Education
International University of Applied Sciences
Master’s in Data Science
SRM University
Bachelor’s
Electronics & TeleCom
Licenses & Certifications
Data Science Learning Path
Board Infinity
IBM AI Engineering Specialization
IBM
Azure AI-900 Prep Specialization
Coursera
Tensorflow Developer Specialization
DeepLearning.AI