Nikita Pathak

Nikita Pathak

Data Scientist @ Agiloft

About Nikita Pathak

Nikita Pathak is a Data Scientist currently working at Agiloft in Redwood City, California. With a background in database management and business analytics, she has held various roles in data analysis and consulting across multiple organizations.

Work at Agiloft

Nikita Pathak has been employed at Agiloft as a Data Scientist since 2020. In this role, she focuses on leveraging her expertise in data analysis and visualization to derive actionable insights. Prior to her current position, she worked at Agiloft as a Business Analyst from 2019 to 2020. Her experience at Agiloft has allowed her to apply her skills in mathematical modeling and machine learning to enhance data-driven decision-making processes.

Education and Expertise

Nikita Pathak holds a Master’s Degree in Management Information Systems from San Diego State University, where she studied from 2016 to 2018. She also earned a Bachelor’s Degree in Information Technology from the University of Mumbai, completing her studies from 2009 to 2013. Her educational background has equipped her with a strong foundation in database management, business analytics, and data visualization, particularly using tools like Tableau.

Background

Before her current role at Agiloft, Nikita Pathak gained valuable experience in various positions. She worked as an SAP FICO Consultant at Accenture in India from 2013 to 2016. In 2017, she served as a Data Analyst Intern at Varian Medical Systems for three months and held positions at the SDSU Research Foundation as a Graduate Student Assistant and Research Assistant. These roles contributed to her comprehensive understanding of data analysis and business processes.

Skills and Technical Proficiencies

Nikita Pathak possesses a diverse skill set in data analysis, text mining, and statistical techniques. She has in-depth knowledge of SAP modules, including FI, MM, and SD. Her expertise extends to transforming complex data into actionable insights through the application of mathematical models and machine learning techniques. This combination of skills supports her ability to analyze data effectively and provide strategic recommendations.

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