• Collected, cleaned, and analyzed data from diverse sources to generate meaningful insights.• Identified trends and patterns to support strategic decision-making.• Transitioned paper invoice systems to electronic formats by designing an integrated database, reducing operational costs and improving efficiency.• Applied machine learning techniques, including K-Means clustering, to analyze and segment customer data, leading to enhanced insights for targeted marketing… Show more • Collected, cleaned, and analyzed data from diverse sources to generate meaningful insights.• Identified trends and patterns to support strategic decision-making.• Transitioned paper invoice systems to electronic formats by designing an integrated database, reducing operational costs and improving efficiency.• Applied machine learning techniques, including K-Means clustering, to analyze and segment customer data, leading to enhanced insights for targeted marketing strategies.• Designed and implemented dynamic dashboards in Power BI, including data cleaning, transformation, and modeling, to deliver clear and insightful visual representations for decision-making Show less

• Improved data accessibility by designing databases with SQL and PostgreSQL, and developing back-end services using .Net• Analyzed barcode dispensing performance using Python and Pandas, reducing the exchange rate by 33.33%. - Used Matplotlib and Seaborn for data visualization to identify key trends and insights.• Developed an error prevention program with Scikit-learn and integrated it into the hospital system using .NET APIs.

• Analyzed data using Python and SQL.• Developed machine learning models.• Cleaned and processed data using Pandas and NumPy.