FinBox
Data Science Intern
Gurgaon, India- Designed and deployed multiple LSTM-based NLP models to Amazon s3 to classify SMS messages across 5 distinct tagging dimensions, achieving 97-99% accuracy per tag and 95.5% overall multi-label accuracy, enhancing internal workflows.
- Currently working on fine-tuning open-source LLMs such as Qwen, LLaMA, and Mistral to automate manual data enrichment tasks, with the goal of reducing workforce dependency by up to 60% and accelerating data enrichment pipelines.
- Reduced latency of the DeviceConnect product by ~20% through codebase profiling and optimization using tools like cProfile, snakeviz, Cprogram, improving user responsiveness and lending journey.