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Ms. Akshata Upadhye

Ms. Akshata Upadhye

Achiever's Success Story

A trailblazing data scientist with a drive impactful innovation at the intersection of data science and business

Ms. Akshata Upadhye is a trailblazing data scientist with a research-based MS degree and an MBA, enabling her to drive impactful innovation at the intersection of data science and business. At Randstad, she developed an advanced analytics dashboard powered by Google BigQuery SQL and Looker Studio, streamlining data aggregation and visualization processes, and enhancing candidate-to-job matching to streamline the recruitment process.

Beyond her professional work, she has several research papers published in AI, NLP, Machine Learning, data analytics, and Business Intelligence, showcasing her thought leadership in these domains. She is also passionate about driving digital transformation and has been invited as a speaker at various Data Science conferences and events. Additionally, she volunteers for Statistics Without Borders, developing solutions using various Data Science and NLP techniques for non-profit organizations for social causes and initiatives.

She has a strong track record of research publications in reputed journals and serves as an editorial board member for several international journals. For her significant contributions in the field of AI, she was felicitated with the Global Recognition Award in 2024. Additionally, her contributions have been recognized through her recent shortlisting as a finalist for The Solution Implementer of the Year Award by The AI Summit in New York in December 2023.

Her extensive research experience during her MS thesis program at the University of Cincinnati involved developing a novel technique to improve document clustering, providing her with extensive experience in Natural Language Processing, Machine Learning, and creating meaningful visualizations. This earned her the Engineer of the Month award in the year 2021 for her innovative research and community engagement initiatives on the campus.

In summary, she stands as a pioneering data scientist and innovator, leveraging her expertise in AI, data science, and business acumen to drive meaningful change in the industry. Her thought leadership, professional accomplishments, and academic achievements underscore her as a trailblazer in the field of data science and AI.

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