Sree Bhargavi Balija
Machine Learning Engineer @Akdene Technologies
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WORK HISTORY
Machine Learning Engineer @Akdene Technologies
Deployed a predictive financial model using Python, TensorFlow, and XGBoost in months, enhancing financial risk analysis for over 100K customers.• Built a customer analytics system with SQL, Pandas, and Langchain, reducing data retrieval time from 30 minutes to under 5 minutes for financial reporting teams.• Engineered an NLP-based chatbot using NLTK, OpenAI APIs, and Django, reducing customer service workload by 120 hours per month and improving response time.• Automated ML model deployment with Azure, CI/CD, and Kubernetes, reducing deployment time from 2 days to just 6 hours, ensuring faster production releases.• Enhanced fraud detection with PyTorch and model interpretability techniques, identifying 1,200+ high-risk transactions in the first weeks of deployment.• Integrated REST APIs with microservices to streamline financial data processing, reducing manual intervention and improving system efficiency.• Formulated a model monitoring pipeline using Conformal Predictions, ensuring 75% stability in model accuracy across financial datasets.
EDUCATION
UC San Diego
Master of Science - MS, Machine learning
University of Missouri-Columbia
Doctor of Philosophy - PhD
ABOUT SREE BHARGAVI BALIJA
Sree Bhargavi Balija is a PhD Researcher (NSF Grant) in Computer Science at the…
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