Isiasha G. Email & Phone Number

• Selected to participate in a 16-week Data Engineering fellowship (4% acceptance rate) with learning facilitated through real-world business cases• Collaborate with a group of five to analyze the collection, storage, and organization of data related to Medicare and Medicate sponsorship and rating programs• Collaborated with a group of five to answer the question: What strategies can be employed to ensure the scalability and performance of the data warehouse, considering the volume of Medicare and Medicaid payment data?• Built a data pipeline and database using tools such as AWS Lambda and Redshift• Create a detailed project plan with weekly meetings to assign deliverables and ensure the timeline remained on track, received mentorship, and guidance from an industry data engineers

• Utilizes statistical data to create advanced charts, tables, and graphs with Excel and Power BI, enhancing data visualization and comprehension at various levels, facilitating more informed decision-making.• Conducts ad-hoc data analysis and reporting, fulfilling timely and accurate reporting requests from stakeholders with tailored reports to meet specific needs• Promoted from staff therapist to department supervisor and then Assistant clinical directed demonstrating commitment to professional growth and ability to excel in leadership while managing and leading multiple projects and coordinating efforts across multiple teams to make data-driven decisions• Analyze weekly patient data, averaging 32 patients per week, to identify trends, patterns, and areas for improvement in patient care, resulting in a reduction in cancellations of less than 25% per quarter• Database management of 415 patients and weekly data collection with EMR (Fusion, WebPT, CareCloud) and Microsoft Excel

• Interpreted and analyzed large amounts of data to understand medical information in order to dispense medications correctly• Managed large data sets and kept track of multiple projects to manage multiple tasks and maintained pharmacy inventory of at least 80% per month• Meticulously handled medications and ensured correct dosages for dispensing with dispensing errors of less than five errors per month• Utilized electronic prescribing systems and computerized inventory systems for data entry and inventory management

Columbia, South Carolina Metropolitan Area

• Conducted preclinical developmental trials focused on deducing or eliminating chronic neuropathic pain using various rodent models of nociception.• Performed rodent surgeries and managed animal orders for experiments.• Utilized molecular techniques including immunohistochemistry, western analysis, and microscopy.• Collaborated with a team to analyze and interpret experimental results.• Utilized molecular techniques including immunohistochemistry, western analysis, and microscopy.• Collaborated with a team to analyze and interpret experimental results.

Master Of Science - Ms, Data Analytics

Master'S Degree, Speech-Language Pathology

Bachelor Of Science - Bs, Biology, General