· Streamlined data analysis processes and reduced report generation time through the optimization of database queries and data mining processes.· Collaborated with stakeholders to develop and maintain data standards and naming conventions, improving data consistency and facilitating effective data governance practices.· Involved in data cleansing and analysis using Excel, using pivot tables, formulas (V-lookup and others), data validation, conditional formatting, and graph and chart… Show more · Streamlined data analysis processes and reduced report generation time through the optimization of database queries and data mining processes.· Collaborated with stakeholders to develop and maintain data standards and naming conventions, improving data consistency and facilitating effective data governance practices.· Involved in data cleansing and analysis using Excel, using pivot tables, formulas (V-lookup and others), data validation, conditional formatting, and graph and chart manipulation. Show less

· Designed and implemented SSIS packages to automate data extraction, transformation, and loading (ETL) processes, streamlining 
data integration between disparate systems.· Executed SQL queries for extracting healthcare data, achieving a 20% improvement in extraction speed compared to previous methods.· Created reports and dashboards in Power BI using Power Query, DAX Functions, and visuals (Charts, Graphs, KPIs, Maps, Gauges, Power KPI, Matrix, etc.).· Utilized Alteryx Analytics… Show more · Designed and implemented SSIS packages to automate data extraction, transformation, and loading (ETL) processes, streamlining 
data integration between disparate systems.· Executed SQL queries for extracting healthcare data, achieving a 20% improvement in extraction speed compared to previous methods.· Created reports and dashboards in Power BI using Power Query, DAX Functions, and visuals (Charts, Graphs, KPIs, Maps, Gauges, Power KPI, Matrix, etc.).· Utilized Alteryx Analytics tools to perform statistical analysis, identify trends, and generate insights, contributing to a 20% improvement in decision-making accuracy.· Developed and implemented predictive models using machine learning algorithms such as linear regression, classification, multivariate regression, Naive Bayes, Random Forests, K-means clustering, KNN, PCA, and regularization for data analysis.· Conducted ad-hoc analyses using to answer critical business questions, reducing the time spent on manual data retrieval by approximately 32%. Show less

· Developed data cleaning routines using scripting languages (Python, SQL) to automate the cleaning process for large datasets, improving data analysis efficiency.· Increased efficiency in data preparation tasks by 25% using Alteryx Designer workflows.· Accelerated data exploration by 30% using Python data visualization libraries like Matplotlib and Seaborn,enabling swift insights into data distributions and patterns.· Collaborated with 5+ cross-functional teams to automate data… Show more · Developed data cleaning routines using scripting languages (Python, SQL) to automate the cleaning process for large datasets, improving data analysis efficiency.· Increased efficiency in data preparation tasks by 25% using Alteryx Designer workflows.· Accelerated data exploration by 30% using Python data visualization libraries like Matplotlib and Seaborn,enabling swift insights into data distributions and patterns.· Collaborated with 5+ cross-functional teams to automate data collection processes, reducing manual workload andenhancing data accuracy. Show less