MEET PATEL
About Candidate
Data Analyst with professional experience transforming complex datasets into actionable business insights using SQL, Python, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA),dashboard development, KPI reporting, statistical analysis, and process automation. Experienced in healthcare revenue cycle analytics and passionate about building scalable AI-driven data solutions that improve operational efficiency and support business decision-making.
Location
Education
learn about how electronics is important to our daily life and learn about House circuit works how robotic and robotics can change the world during my academic. I’m learning about many programming language like C++, Python and many technology like AI, ML, IOT all as well as computer Vision and image processing.
Work & Experience
• Developed a hospital recommendation engine using NLP techniques to improve personalized healthcare search results.
• Analyzed user behavior data to identify drop-off points in website flows and proposed UX improvements.
• Maintained high-quality patient and insurance datasets by validating order information and entering
accurate records into InfoFlow ERP.
• Verified insurance eligibility by analyzing payer information and identifying discrepancies before claim submission.
• Collaborated with cross-functional teams and US-based clients to resolve billing issues through data
validation and process analysis.
• Developed working knowledge of DME/HME billing workflows, denial cycles, and AR management practices through daily exposure.
• Contributed to the development of a Large Language Model (LLM)-based healthcare solution by
supporting data preparation, prompt optimization, testing, and validation to improve AI-assisted
workflows.
• Collaborated with cross-functional teams in the design and implementation of an LLM-powered application for healthcare billing and denial resolution.
• Assisted in integrating LLM capabilities into internal applications, supporting knowledge retrieval and workflow automation for DME/HME operations.
• Built and deployed an AI-powered denial resolution chatbot using Python, LangChain, and Groq API, reducing manual SOP lookup time and improving claim resolution efficiency for DME billing operations.
• Developed an automated ageing claims analysis workflow using Python and Excel to identify overdue claims, prioritize follow-ups, and generate actionable reports for revenue cycle teams.
• Developing an automated claim status extraction system using Python-based web automation to reduce manual follow-up efforts and improve operational efficiency.