Year of Graduation
Dana-Farber Cancer Institute, Boston, Massachusetts
Research in cancer treatment has the most pressing need for accurate and meaningful data, delivered in a timely manner. There is no room for erroneous data for analysis by clinicians and researchers. Dana-Farber recognizes this importance and wants to ensure that the end users have access to high quality data to produce the best results. To supplement this need, I identified the weaknesses in the pipeline responsible for data inconsistencies, analyzed the genomics data for inaccuracies, corrected the data and presented a roadmap for the implementation of a technique that ensures steady data counts across systems in the future.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Ravindra, Charishma, "Product Analysis -ETL Engine" (2018). ENGG 390 Reports (MEM Students). 23.
Available to Dartmouth community via local IP address.