Results-driven AI Data Scientist specializing in Natural Language Processing and customer intelligence solutions. Proven track record of transforming unstructured customer interaction data into actionable business insights through advanced NLP techniques including sentiment analysis, clustering, and text mining. Experience in developing end-to-end AI solutions from proof-of-concept to production, including text-to-speech applications, intelligent chatbots for sales automation, and multimodal data extraction systems using OCR and LLMs. Strong business acumen with demonstrated ability to quantify ROI, build executive-ready dashboards, and translate complex AI capabilities into measurable business value. Proficient in Python, SQL, and modern ML frameworks with experience in both traditional machine learning and cutting-edge Large Language Model implementations.
Customer Insights & Analytics
AI Strategy & Implementation
Product Development & Prototyping
Business Intelligence & Reporting
Technical Expertise
Designed and modeled novel inductor architectures for high-frequency amplifier applications, optimizing electromagnetic performance and circuit integration requirements
Python programming
Business requirements gathering and stakeholder management
Machine learning
Intent recognition (Classification models)
OCR
Text extraction
Statistical analysis
SQL databases
Natural language processing (NLP)
Sentiment analysis
Graph theory
VectorDB - Chromadb/weaviate
Web scraping
Huggingface
fine-tuning - Unslothed/ Huggingface - LORA