Shiva Lashkari

Data Scientist / Analyst at DataScan

Shiva Lashkari is an experienced data professional with a comprehensive background in data science and analysis. Currently employed as a Data Scientist/Analyst at DataScan since July 2021, Shiva previously served as a Graduate Research Assistant for a project at Starr Insurance Companies. Prior roles include Lead Data Analyst and Data Scientist at Homestead Hospice, where predictive analytics were utilized to enhance patient care, and a Business Data Analyst, where various web applications were developed and operational efficiencies were improved. Additionally, Shiva’s experience encompasses full-stack development at Mandegar System, demonstrating expertise in software design and implementation. Academic qualifications include a Master of Science in Data Science from Georgia State University and a Bachelor's degree in Computer Software Engineering from Islamic Azad University.

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Atlanta, United States

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DataScan

Over the last three decades, DataScan’s expertise spans 50 clients, more than $80 billion of loan collateral in our systems (Wholesale Intelligence), and over 225,000 audits (Audit Intelligence) conducted per year. Through our depth of experience, we have established ourselves as the industry leader in the wholesale asset finance and risk management space, working tirelessly to provide customers with the tools, services, and strategies to help propel businesses to the next level. The pillars we stand for – trust, expertise, partnership – shape our approach to agile, forward-thinking solutions. Inspired by our in-depth industry experience, our associates actively leverage expansive resources to drive innovation for clients. Our Clients count on us to provide the technology and insights that help them efficiently grow their business and manage their risk. A foundation of knowledge sharing, responsiveness, and commitment to growth underpins DataScan’s relationship with its customers and feeds a collective passion for future-focused, proactive problem-solving.