I have three years of experience working with oncology data sets, including patient demographics, treatment histories, and clinical trial outcomes. I am proficient in using tools like SQL and Python to clean, analyze, and visualize data. My work has involved identifying trends in cancer treatment efficacy and supporting research teams with actionable insights. I also have experience ensuring data compliance with HIPAA and other regulations.

I ensure data accuracy by implementing rigorous validation processes, such as cross-referencing data sources and using automated scripts to detect anomalies. I also collaborate with clinical teams to verify data entries and resolve discrepancies. Regular audits and adherence to standardized data collection protocols further enhance data integrity. My goal is to maintain high-quality data that supports reliable analysis and decision-making.

In a previous role, I analyzed treatment response data for a specific cancer subtype, identifying a pattern that suggested a higher success rate with a modified therapy regimen. This insight was shared with the clinical team, leading to a pilot study. The study confirmed the findings, and the treatment protocol was updated, improving patient outcomes. This experience reinforced the importance of data-driven decision-making in oncology.

I am proficient in SQL for database querying, Python and R for statistical analysis, and Tableau for data visualization. I also have experience with electronic health record (EHR) systems and oncology-specific databases like SEER. Additionally, I am familiar with machine learning frameworks such as TensorFlow, which I use for predictive modeling in cancer research.

I stay updated by attending oncology conferences, subscribing to journals like the Journal of Clinical Oncology, and participating in online courses on platforms like Coursera. I also follow industry leaders on LinkedIn and join professional networks to exchange knowledge. This continuous learning helps me apply the latest techniques and insights to my work, ensuring my analyses remain relevant and impactful.