Aditya Varma
Sofware Developer at Davita Kidney Care
Based in Cumming, United States
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Seniority
Staff
Department
Information Technology
Location
Cumming
Industry
Hospitals and Health Care
Company size
39K
Contact information
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a•••••••@davita.com
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Background
About Aditya Varma
Experienced in leveraging Excel as a dynamic tool in driving professional responsibilities, I possess proficiency in diverse functions.My expertise extends to analyzing substantial datasets, crafting comprehensive reports, and formulating intricate models across various projects using Excel. Skilled in data visualization techniques, I adeptly employ charts, graphs, and pivot tables to present information with precision.Furthermore, I excel in task automation through macros and VBA (Visual Basic for Applications), streamlining operations for enhanced efficiency.In the realm of accounting, I've managed ledgers, reconciled accounts, and generated financial statements using tools like QuickBooks, ensuring meticulous financial data management. My grasp of accounting principles such as GAAP and IFRS ensures accurate and compliant financial reporting.Contributing substantively to strategic decision-making processes, my involvement in budgeting, forecasting, and variance analysis has been pivotal in previous roles.As a dedicated business analytics student, I focus on mastering visualization, database management, and diverse analytics facets pivotal for success in this domain.Proficient in Tableau, I craft compelling visual representations to effectively communicate data insights. My expertise lies in storytelling with data, articulating complex information in an engaging manner to facilitate decision-making.In database systems like SQL Server, MySQL, and Oracle, I possess adept skills in design, querying, and management, ensuring proficiency in handling data repositories.My analytics proficiency encompasses statistical analysis, including regression analysis, hypothesis testing, and predictive modeling, forming a robust foundation in this discipline. I apply predictive analytics techniques to forecast trends and drive data-driven predictions effectively.
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