Divya Lohar

Q: What is Divya Lohar email address?

Email Divya Lohar at divya.lohar@scmsotexas.com. This email is the most updated Divya Lohar email found in 2026.

Q: How to contact Divya Lohar?

To contact Divya Lohar send an email to divya.lohar@scmsotexas.com. (updated on September 13, 2024)

Data Engineer at AMD | Austin, Texas, United States

About Divya Lohar

Divya Lohar is currently making significant strides as a Data Engineer at AMD, where she plays a pivotal role in the Runrate Ryzen Monolithic APU Inventory Forecasting Team. With her background in Management Information Systems (MIS) and a passion for technology and startups, Divya leverages her analytical skills to optimize inventory forecasting processes, ensuring that AMD's cutting-edge products are available to meet market demands. Her expertise in data visualization tools like Tableau and her proficiency in programming with R allow her to transform complex datasets into actionable insights, driving efficiency and accuracy in forecasting models.

Divya's role involves collaborating closely with cross-functional teams to integrate data from various sources, including Snowflake, to create comprehensive reports that inform strategic decision-making. Her creative flair shines through in her use of design tools like Figma and Canva, where she crafts visually compelling presentations that communicate data-driven narratives to stakeholders. This unique blend of technical prowess and creative insight enables her to contribute meaningfully to AMD's innovative projects.

Beyond her technical capabilities, Divya is deeply invested in the entrepreneurial landscape, often engaging in discussions about emerging technologies and innovative startups. Her participation in case competitions reflects her commitment to continuous learning and her drive to explore new ideas that can shape the future of technology. As she continues to grow in her role at AMD, Divya Lohar is poised to make a lasting impact in the tech industry, bridging the gap between data engineering and entrepreneurial innovation. Let’s connect and explore the exciting intersections of data, technology, and entrepreneurship!

Divya Lohar Work