• Modernized data mining and exploratory analysis, identifying patterns, trends, and correlations in large datasets, leading to a 25% increase in the understanding of behavioral health outcomes and program effectiveness.• Collaborated with the Data Team to guarantee data accuracy, completeness, and consistency through data quality checks and resolution of data issues, achieving a 15% reduction in data errors.• Contributed to data-driven research projects by collecting, organizing, and analyzing data, resulting in a 20% improvement in the evaluation of programs, interventions, and policies.• Developed and documented ETL strategy to populate the Data Warehouse from various source systems, increasing data accessibility by 30%.• Performed data collection, cleaning, wrangling, and analysis, and built machine learning models on datasets in Python, enhancing predictive accuracy by 40%.• Collaborated with the solutions team to create client reports using Big Query and SQL Stored Procedures, contributing to a 50% increase in successful client engagements.• Implemented ETL processes using SSIS, SSRS, SSAS, and Informatica, reducing manual effort by 35% and improving efficiency.

• Advance and implemented data quality checks that reduced errors in reports by 12%. Created customized reports connected to reporting servers using Power BI, enhancing decision-making efficiency by 20%.• Orchestrated the cleaning and organization of data into Tableau & Tableau Prep through data mining processes and ETL, resulting in a 25% improvement in data accuracy.• Designed a star schema using SQL Server to enhance data warehousing capabilities, increasing query performance by 30%.• Created, modified, and troubleshooted SQL queries, stored procedures, and jobs, ensuring seamless data management and retrieval, reducing downtime by 15%.• Utilized Python libraries like Pandas, NumPy, Seaborn, SciPy, Matplotlib, and Scikit-learn for data preprocessing, improving data analysis speed by 40%.

• Establish various capacity planning reports utilizing Python packages such as NumPy, Matplotlib, ScikitLearn, and SciPy, presenting data graphically and aiding in strategic planning and decision-making, resulting in a 15% increase in forecasting accuracy.• Engaged extensively in data profiling, mapping, and cleansing, ensuring data quality and integrity, which facilitated a 20% improvement in analysis and reporting accuracy.• Contributed to database management by writing, testing, and implementing triggers, stored procedures, and functions using PL/SQL, optimizing data retrieval and storage processes, and reducing query time by 25%.• Conducted exploratory data analysis on large and imbalanced datasets using Python, providing critical data insights and strategic directions, supporting data-driven decision-making and resulting in a 30% improvement in solution implementation.• Spearheaded data visualization initiatives using Tableau to generate comprehensive reports, improving the clarity of complex data insights communicated to stakeholders by 40%.