harsh chauhan

Developed synthetic patient records using Large Language Models, achieving 92% clinical data fidelity. Utilized Azure AI tools to create datasets for caries risk models, ensuring HIPAA compliance. Engineered predictive models and applied NLP for insights, improving predictive accuracy by 35%. Analyzed healthcare data with Python, enhancing stakeholder engagement through impactful visualizations.

Spearheaded a dashboard using PowerBI with Google Analytics insights, increasing user repeat rate by 20%. Optimized data pipelines for Google Analytics data and designed interactive visualizations to present key metrics. Persuaded teams to adopt a user-centric approach, resulting in a 15% increase in average page visits.

Analyzed user reviews using NLP techniques, implementing sentiment analysis with 82.4% accuracy. Developed a semantic search system to improve information retrieval for data-driven decision-making.

Created a document analysis pipeline using Large Language Models to extract and summarize insights from complex documents. Automated text extraction and improved document comprehension workflows by 40%.

Developed a natural language processing chatbot using Google Dialogflow, reducing order processing time by 30%. Integrated FastAPI for backend improvements, enhancing order processing speed and database updates.

Processed an end-to-end AWS data pipeline analyzing over 130K Amazon music reviews, achieving 77% prediction accuracy. Deployed ML models with SageMaker and designed QuickSight visualizations to uncover key trends in rating distributions.

Grade: 3.77 / 4.00

Pursuing a Master’s in Data Science with coursework in Applied Machine Learning, Data Mining, Applied Database Technology, Information Visualization, and Big Data Application. Achieved a CGPA of 3.77 / 4.00.