Diana Vielma

Data Analyst at XponentL Data

Diana Vielma is a skilled professional with a diverse background in data analysis, research, and fitness. With experience in companies such as XponentL Data, WCG, and Texas Tech University Health Sciences Center, Diana has developed a strong foundation in data analysis and research. Diana also has experience as a certified personal trainer and has worked in various sales roles. Diana holds a Master of Science degree in Bioinformatics from The University of Texas at El Paso, where Diana also studied Biology and Biomedical Sciences.

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El Paso, United States

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XponentL Data

XponentL Data enables brilliant data experiences for our clients. We are the leader in the emerging field of Data Products and believe they are the best way to drive value from data in complex environments. Our mission is to transform the way businesses interact with and benefit from data. We aim to reduce the time from question to answer and bridge the gap between data producers and consumers by delivering a suite of data products that deliver insights, fuel artificial intelligence and capture value. XponentL’s capabilities span strategy through execution with a focus on creating immediate value for our clients. The leadership team, comprised of leaders in tech and industry, has a proven track record of delivering transformational solutions at the world's largest Data & Artificial Intelligence businesses in the Sciences, Healthcare, Retail, Hospitality and Oil & Gas. Born in Philly but active globally, XponentL boasts a world-class offshore data science and engineering operations situated in Kosovo. This means we can offer our clients top-tier ML/AI talent and cost-effective Data Product solutions tailored to the unique needs of our clients. Through our innovative approach, pre-built accelerators, and phenomenal strategic consulting, we aim to unlock the full potential of data to transform decision-making, drive efficiency, and foster innovation. By empowering our clients with the tools and insights they need, we strive towards a future where data is not just a byproduct of operations, but an asset driving growth and success.


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11-50

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