Subasri Sridhar has extensive work experience in software engineering and quality assurance. Subasri currently serves as a Principle Software Engineer and Senior Quality Assurance Engineer at Synup. Subasri also works as a Data Scientist at DeepBrainz AI. In 2019, they served as a Data Scientist at NinjaKiwi where they created and presented models predicting customer churn with profitable results, developed an RFM - Customer Segmentation model analysis to target customer promotion, and built a Sequence analysis model to predict customer retention. From 2015-2019, Subasri worked at Atlas Healthcare Software in various roles, including Quality Assurance Engineer, Junior Quality Assurance Engineer, and Quality Assurance Intern. In these roles, they reviewed, analyzed, and ensured the quality of data loaded into the database system, served as a Software Tester, provided quality support for client data integration, produced patient data for Quality Management analysis, developed comprehensive test plans, wrote and executed test cases, and mentored Juniors and Interns.
Subasri Sridhar has a Master of Science in Data Science from the University of Dundee (2019-2020) and a Bachelor of Technology in Information Technology from Karpagam College of Engineering (2012-2016). Subasri has also obtained several certifications, including MongoDB Basics from MongoDB (April 2020), Tableau Essential Training and pandas for Data Science from LinkedIn (November 2019), Introduction to Data Science from Microsoft (June 2019), Big Data 101 from Cognitive Class (February 2019), and SQL advanced from TechGig (July 2021).
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