• Data Extraction and Report Automation: Transitioned monthly reporting to the MERLIN system and enhanced report accuracy by utilizing advanced Excel functions (complex formulas, pivot tables, and macros etc.) for data cleaning, sorting, and presenting over 200 entries monthly.• Data Modeling and Process Development: Developed and standardized new data reporting models and procedures in Python and SQL, streamlining data processing and report generation in the wake of a company-wide system transition.• Data Visualization: Assisted senior executives, including Assistant Vice Presidents, with the creation of advanced data visualizations reports using Power BI, ensuring enhanced decision-making support following an organizational restructuring.• Application Development: Partnered with developers to design and deploy a custom application using Power Apps and HTML, which significantly improved data accessibility and operational efficiency for executive managers.• Automated Data Workflows: Employed Python (utilizing libraries such as Pandas, NumPy, SciPy, and Scikit-learn) and SQL scripts to automate and optimize data workflows, enhancing efficiency and accuracy in data management.

• Data Collection and Data Analysis: Conducted user interviews and surveys to gather and manage extensive datasets for primary research, subsequently leveraging Python for in-depth data analytics, and interpreting complex datasets to derive design-focused insights.• Data Management: Utilized SQL for querying, extracting, and managing research data, guaranteeing timely and precise findings.• Data Visualization: Crafted and showcased data visualizations using PowerBI, translating intricate data narratives for stakeholders and aiding in informed decision-making.• Cross-functional Collaboration: Partnered with multidisciplinary teams to convert data-driven insights into actionable design recommendations, thereby stimulating innovation.

• Stakeholder Engagement and Communication: Built and nurtured relationships with diverse internal stakeholders to understand their needs and translated those into actionable project requirements.• Advanced-Data Analysis with R: Deployed advanced statistical models using R to interpret and glean insights from 200+ user datasets, aiding in informed decision-making for data system enhancements.• Data Visualization using Tableau: Transformed raw data into visually compelling dashboards and reports in Tableau, ensuring stakeholders grasped key trends and insights at a glance.• Process Optimization: Spearheaded user-centric design changes that led to a 14% boost in data processing efficiency, highlighting the importance of iterative improvements.