Sandra S Email & Phone Number

United States

• Experience in Text Analytics, Data Mining, and data visualizations with R, Python, and Power Bi.
• Spearheaded cross-functional projects to deliver actionable insights in both consumer and commercial analytics, contributing to the overall business strategy.
• Conducted comprehensive risk assessments for data-related projects, identifying potential risks such as data quality issues, system failures, and security vulnerabilities.
• Developed and maintained automated reporting processes, providing stakeholders with up-to-date insights to drive decision-making.
• Led the analysis of consumer and commercial data to identify trends, customer behaviors, and market opportunities, driving data-informed decision-making.
• Coordinated with stakeholders from both consumer and commercial sectors to ensure alignment on analytics initiatives and business objectives.

Tampa, Florida, United States

• Developed end-to-end BI solutions, including data acquisition, cleaning, model development, validation, and visualization for customer intelligence.
• Designed and built innovative, scalable data solutions using Databricks, Azure Data Factory, and Snowflake, enabling high-volume data processing and efficient workflows for business-critical analytics.
• Developed and optimized SQL queries to track and measure key business performance indicators, enabling real-time monitoring.
• Automated reporting and analysis processes using Python, SQL, and Azure DevOps, reducing manual effort and improving efficiency across teams.
• Ensured data integrity and quality control by implementing rigorous unit testing, system integration testing, and validation protocols within ETL pipelines and data workflows.

Dubai, United Arab Emirates

• Conducted qualitative and quantitative research to gather data from data marts.
• Responsible for data identification, collection, exploration & cleaning for modeling, and participated in model development.
• Ensured that all data analysis processes followed rigorous data validation, quality control, and documentation standards, supporting ongoing audits and compliance.
• Guided teams in understanding data analysis methodologies and how to apply them to address specific business objectives and issues.
• Developed and maintained automated reporting processes, providing stakeholders with up-to-date insights to drive decision-making.
• Independently identified and resolved complex data challenges, employing advanced SQL and Python scripting to transform and analyze large datasets efficiently.

Dubai, United Arab Emirates

• Developed and optimized SSIS packages, resulting in a 20% improvement in data processing efficiency and reducing data latency issues.
• Automated routine data processing tasks through SSIS workflows, reducing manual effort by 13% and streamlining the data integration process for faster and more reliable reporting.
• Worked with decision-makers to understand business issues, using data to drive insights and recommend strategies for improvement.
• Developed and maintained data marts and data warehouses, ensuring optimal data structure and accessibility for analysis and reporting purposes, which improved overall data retrieval times by 25%.
• Optimized complex SQL queries by conducting query tuning, indexing key columns, and rewriting inefficient SQL code, reducing query execution time and improving reporting efficiency.
• Created and maintained SQL queries and stored procedures to facilitate complex data analysis and reporting needs, enhancing data accuracy and accessibility for cross-functional teams.

Master'S Degree, Data Science

Bachelor Of Technology - Btech, Computer Science