Manasi Murarka

Product Analyst - Analytics, Intern @Skan AI

Tempe, AZ, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

May 2025 — Present

Product Analyst - Analytics, Intern @Skan AI

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US

EDUCATION

2024 — 2025

W. P. Carey School of Business – Arizona State University

Master's degree

2007 — 2019

Delhi Public School, Pune

12th Grade

2019 — 2023

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology - B.Tech

ABOUT MANASI MURARKA

As I embark on my journey towards an MS in Business Analytics at ASU\'s W. P. Carey School of Business, with a focus on Supply Chain Analytics, I am driven by a deep passion for using data to solve complex business challenges. My academic background in Data Science (B.Tech from NMIMS, India) and hands-on experience in the fintech sector have equipped me with a solid foundation in data analysis, business intelligence, and data-driven decision-making. During my time as a Product Intern at BharatNXT, a fintech startup, I played a key role in integrating the company database with Power BI, implementing incremental data refresh, and designing Power BI dashboards for internal stakeholders. This experience honed my skills in Excel, SQL, and Power BI, and taught me the importance of accurate data interpretation for informed decision-making. My work involved identifying and addressing data inconsistencies, ensuring long-term data integrity, and delivering actionable insights that supported strategic business decisions. Now, as I deepen my expertise in business analytics with a focus on supply chain, I am excited to leverage my technical skills and analytical mindset to drive efficiency, optimize processes, and contribute to data-driven innovations in supply chain management. I am looking forward to connecting with professionals and organizations that value innovation, collaboration, and the strategic use of data. I am eager to bring my skills, work ethic, and enthusiasm to a forward-thinking team where I can contribute meaningfully and continue to grow as a data professional.

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