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Pavan Patil

Pavan Patil

Business Analytics

Human Resources

New York City, New York

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About Pavan Patil:

Hi, I’m Pavan Patil. I recently completed my Master’s in Business Analytics from Hofstra University. I come from a commerce and computer background, with a Bachelor’s in Computers, and I’ve built strong skills in data analysis, SQL, Tableau, Excel, and Python.

During my internship at Northwell Health, I worked on infection tracking dashboards and risk assessments, collaborating with clinical teams to drive real-time decisions. Before that, I was a Business Associate at Filesie Systems in India, where I focused on analytics for digital marketing campaigns.

I’m passionate about turning data into decisions and am now looking to apply my skills in a fast-paced environment like Hidanitech where I can grow and contribute to impactful business solutions.

Experience

I’m a results-driven Business Analyst with a background in commerce and analytics. I hold a Master’s in Business Analytics from Hofstra University and bring hands-on experience in data analysis, dashboard creation, and process optimization. I interned at Northwell Health, where I supported infection prevention efforts using Excel-based tools and risk-tracking systems. Prior to that, I worked as a Business Associate at Filesie Systems, where I focused on digital marketing analytics and client reporting. I’m skilled in SQL, Tableau, Python, and Excel, and I thrive in roles that involve translating data into actionable insights to support business decisions.

Education

I hold a Master of Science in Business Analytics from Hofstra University, where I developed expertise in data modeling, statistical analysis, database management, and data visualization using tools like Python, SQL, Excel, Tableau, and Power BI. My coursework emphasized real-world applications, including predictive modeling, dashboard creation, and technology-driven business strategies. I also hold a Bachelor of Commerce in Computers from Kakatiya University, which gave me a strong foundation in business operations and IT.

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