Developed a comprehensive data analysis tool for the High Throughput Screening (HTS) department, utilizing Python and Oracle SQL to streamline and enhance datadriven decision-making. Integrated multiple systems (Dotmatics and Galaxy) to improve the flow of information and automate data process-ing, ensuring accuracy and efficiency in screening workflows) Created complex Oracle SQL views to support multi-stage screening data analysis, improving accuracy and effi-ciency in decision-making processes Utilized Python and Pandas for data cleaning and transformation, facilitating seamless plate analysis by removing inconsistencies and ensuring high-quality, actionable data) Built Python scripts to automate the data upload process, reducing manual intervention and accelerating the turnaround time for experiment results Optimized data workflows by automating repetitive tasks, saving significant time and resources, while maintaining data integrity and consistency across platforms.