• Developed an automated generative AI system using Python and PySpark, reducing manual content creation by 70% and producing 50+ learning materials weekly.• Integrated custom models for strategic analysis using PyTorch, SQLAlchemy, and FastAPI, automating pipelines in DBT Cloud and improving course completion rates by 40% with PowerBI visualizations.

• Coordinated the creation of a healthcare chatbot using NLP techniques like tokenization, sentiment analysis, intent classification, and NER in Python to automate patient triage for hospitals.• Reduced manual triage times by 50% and increased patient intake efficiency by 30%, saving an estimated 500+ employee hours per month through A/B testing to refine chatbot performance.

Managed student inquiries in CRM database, ensuring accuracy and completeness, leading to improved efficiency.• Tracked and updated student inquiries in online CRM database for Admissions and Enrollment Services.• Ensured all mailing requests were fulfilled accurately and promptly.• Provided general support to the team, assisting with data entry and digital document filing.

• Developed an Ethereum-based decentralized microblogging platform using Solidity, improving data ownership security and reducing administrative oversight by 40%.• Analyzed and categorized over 1,000 blockchain transaction datasets for sentiment analysis, enhancing risk assessment accuracy by 20%.

• Developed an automatic speech recognition system using Python and Kaldi, reducing transcription time by 50%, enabling real-time processing of meeting data and improving ETL workflows for speech-to-text tasks.• Integrated MFCC and monophone HMMs for voice-controlled meeting tasks, visualized key performance metrics in Tableau, improving meeting productivity by 3x, reducing post-meeting task time by 60%, and accelerating project turnaround by 25%.• Achieved a word error rate (WER) of 4.14% on clean speech and 9.57% on non-clean speech by using Python and NumPy for data processing, enabling 20% more efficient handling of large speech datasets in Snowflake and Databricks.