Ms. Akshata Upadhye Affiliation: Randstad USA, Cincinnati, United States of America Specialization: Computer Science and Information Technology Member Position: Reviewer Member

Member Profile

Akshata Upadhye is a data science professional with a strong background in machine learning, natural language processing (NLP), and data analysis. Currently working as a Data Scientist at Randstad USA, Akshata has optimized various machine learning models and algorithms, significantly enhancing the accuracy and efficiency of job matching and talent recommendation systems. Her efforts have led to a notable increase in lead quality and search result precision, directly impacting the company's sales and recruitment processes. She has also contributed to integrating large language models into internal tools, pushing the boundaries of what's possible in data-driven decision-making.

Before her current role, Akshata served as a Machine Learning Engineer at Randstad USA, where she developed dashboards and NLP-based features that streamlined data processing and recruitment efforts. Her innovative solutions enabled real-time insights and improved candidate ranking accuracy, demonstrating her ability to transform data into actionable insights. Her experience spans across different roles, including a Data Science Internship at General Factory Supply, where she developed algorithms that boosted product data relevancy and efficiency, and a Graduate Assistantship at the University of Cincinnati, where she implemented systems to improve data management and error tracking.

Akshata's diverse experience in data science and analytics, coupled with her expertise in various programming languages and data visualization tools, positions her as a versatile and impactful contributor in any data-centric environment. With a knack for translating complex technical concepts into understandable narratives, she excels at bridging the gap between data science and business needs.

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