AI Product Leader & Builder | HealthTech Automation
I am an Agile Product Leader (MBA,PMP, CSPO, CSM) specializing in leveraging applied AI/ML, Python, and SQL to architect next-generation, automation-focused HealthTech products.
My expertise is defined by my ability to bridge strategic insight with hands-on technical execution:
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Generative AI: I design and implement Retrieval-Augmented Generation (RAG) pipelines using the Gemini API and vector indexing to deliver intelligent Document Intelligence solutions.
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Data Automation: I build high-throughput Python pipelines that integrate Advanced OCR (Tesseract/PaddleOCR) to transform complex, unstructured documents into clean, structured data for system automation.
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Data Analytics: My foundational toolkit includes proficiency in SQL, Tableau, and Power BI, which I use to validate data, analyze trends, and drive value-based decisions (e.g., uncovering critical sales-profitability disconnects).
My background as a former Clinical Liaison/Transplant Coordinator (LPN) gives me unique domain expertise, ensuring every technical solution directly addresses real-world workflow pain points.
Explore my repositories to see practical applications of AI/ML, Python, and data analytics in action. I focus on developing scalable solutions that drive measurable business outcomes, including the 25% team performance gains achieved through optimized project execution.
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Data Visualization
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Tableau
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Superstore Sales Performance Analysis: Optimizing Superstore Sales Performance for Enhanced Profitability (Orders from January 2014 - December 2017)
Insights geared towards the leadership team to better understand and address the company's inconsistent financial performance by leveraging transactional data to identify underlying factors contributing to varying levels of sales and profitability across different dimensions.
- Review the Project Repo: HERE
- Tableau Public: Superstore Sales Performance
- Tableau Public: Superstore Sales Performance Case Study
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Superheroes Analysis Project
- Review project repo: HERE
- Tableau Public: Superheroes Analysis Project Dashboard
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SQL
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Superhereos Analysis Project
Insights geared towards understanding the superhero population by leveraging aggregated data and window functions to uncover surprising trends in weight distribution and quantify differences in average weight across races, genders, and publishers. For instance, the data reveals male heroes average approximately 210 lbs versus 145 lbs for females, and DC Comics' roster is heavier at 175 lbs on average compared to Marvel's 160 lbs.
- Hero Information Dataset: Data Exploration
- Review project repo: HERE
- Review the Data Exploration SQL Scripts:
Basic: HEREAdvanced: HERE- Tableau Public Dashboard
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CryptoPunk NFT Analysis Project
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Excel
- Analyzing the Drug Market Project
- Drug Market Dataset: Data Exploration, Decision Tree Analysis
- Review the Project Repo: HERE
- Nurse Attrition Linear Regression Analysis Project
- Nurse Attrition Dataset: Data Exploration, Linear Regression Analysis
- Review the Project Repo: HERE
- FO Tread Bikes (MBA Capstone Conscious Capitalism) Project
- FO Tread Bikes Datasets: Data Exploration, Pivot Tables, Data Visualization
- Review the Project Repo: HERE
- Analyzing the Drug Market Project
- Project Management Professional(PMP)
- Certified Scrum Master(CSM)
- Ceritified Scrum Product Owner(CSPO)
- Agile Coaching Skills