I am a Data Analyst with 2 years of experience in data analysis, dashboard development, and data visualization, complemented by 6 years of clinical documentation experience. I specialize in transforming raw, structured, and unstructured data into actionable insights for business and healthcare stakeholders.
I work with Python, SQL, Pandas, NumPy, MySQL, Excel, Google Sheets, and OpenRefine to collect, clean, validate, preprocess, and transform data. My analytical work includes exploratory data analysis, statistical analysis, trend analysis, KPI tracking, and sentiment analysis.
I build interactive reporting dashboards using Power BI, DAX, Tableau, Seaborn, and Matplotlib. I have developed dashboards that help stakeholders monitor business metrics, customer feedback, and operational KPIs to support data-driven decisions.
My healthcare background includes clinical documentation, EHR/EMR data, medical terminology, HIPAA-aligned practices, and clinical data analysis. I bring domain knowledge in life sciences and healthcare analytics to data projects involving clinical and financial information.
I also have experience with machine learning and generative AI concepts, including classification, regression, clustering, NLP, BERT, PyTorch, RAG, LangChain, LangGraph, LlamaIndex, and vector databases. I am interested in applying analytics and AI to solve real-world business and healthcare problems.
