Title: Data Science Lead for DA and Digitization
Company: CVS Health
Location: Hartford, Connecticut, United States
Saicharan Sirangi, Data Science Lead for DA and Digitization at CVS Health, has been recognized by Marquis Who’s Who Top Scientists for dedication, achievements, and leadership in data and analytics.
Mr. Sirangi is the data science lead within the internal audit department at CVS Health, where he leads the development of a scalable data science infrastructure tailored to audit and risk functions. His work spans advanced analytics, robotic process automation, machine learning, and generative artificial intelligence (AI)—enabling the transformation of traditional audit practices into intelligent, data-driven systems. With deep expertise in audit analytics, risk management, and process optimization, he plays a pivotal role in enhancing the department’s ability to identify risks, streamline operations, and deliver strategic insights.
Since joining CVS Health in 2020, Mr. Sirangi has played a pivotal role in advancing the internal audit department’s capabilities in analytics, automation, and artificial intelligence. He has helped establish several key systems that support scalable, intelligent solutions tailored to audit and risk functions. Over the years, he has led numerous high-impact projects from concept to successful execution, consistently delivering measurable outcomes.
One of Mr. Sirangi’s standout initiatives involved the rapid digitization and structuring of a large volume of contractual data—enabling faster insights, improved recoveries, and enhanced operational efficiency within audit processes. His leadership in data modeling, automation, and intelligent document processing has significantly elevated the department’s ability to access and act on critical information.
Currently, Mr. Sirangi is focused on building generative AI capabilities specifically designed for internal audit and enterprise risk management. His work aims to create secure, context-aware solutions that enhance risk visibility, streamline audit workflows, and support more proactive decision-making.
Mr. Sirangi began his journey in data science as a Data scientist intern at Aetna CVS Health from 2019 to 2020, where he contributed to key initiatives in audit analytics, risk assessment, and data-driven decision-making. During this time, he also worked as a full-stack data scientist at UTD SOM Investments Corp at The University of Texas at Dallas, focusing on financial technology research, robotic process automation, and machine learning—laying a strong foundation for his future in AI and automation.
In 2018, Mr. Sirangi was involved in blockchain research at UT Dallas, where he managed machine learning data labeling and classification efforts. His role required precision, technical depth, and a strong grasp of emerging technologies. He also served as a university ambassador, demonstrating his commitment to academic excellence and student engagement.
Mr. Sirangi holds a master’s degree in business analytics with a focus on data science and fintech from The University of Texas at Dallas since 2020. He also earned a Bachelor of Commerce in computer science from Osmania University in 2017. His academic background has been instrumental in shaping his analytical mindset and multidisciplinary approach to solving complex problems.
Mr. Sirangi’s commitment to continuous learning is reflected in his diverse portfolio of professional certifications. He is Alteryx Designer Advanced Certified and a Microsoft Certified: Azure Security Engineer Associate (AZ-500). He also holds certifications as an Advanced RPA Professional through Automation Anywhere, a Lean Six Sigma Yellow Belt, and a Salesforce Certified Professional. Additionally, he is a Scrum Certified Product Owner, has completed the HROI Data & AI Product Management program, and holds credentials in AI Application Development. His leadership development is further demonstrated through the Dynamic Leadership Pathway from Toastmasters International.
Mr. Sirangi’s contributions have earned him numerous accolades, including the Alteryx MVP Award between 2022 and 2024, the CVS IT Formula One Award in 2023, and multiple honors from Toastmasters International. He was named Aetna Toastmaster of the Year in 2021 and is a two-time Toastmasters speech competition winner. He also received the Best Bot Designer Award in 2019 and was ranked in the top three percent of analysts globally in the Google Analytics Challenge. As president of his local Toastmasters chapter, he led the club to achieve a Select Distinguished ranking, underscoring his leadership and mentoring skills.
Mr. Sirangi is also an active speaker and knowledge-sharing advocate within CVS Health. He has delivered presentations at company-wide town halls, contributed to orientation sessions for new cohort members, and led Genius Hour talks focused on innovation, data science, and AI. These engagements reflect his commitment to fostering a collaborative learning environment and inspiring others through practical insights and forward-thinking ideas.
Mr. Sirangi is deeply committed to mentoring interns, colleagues, and students who aspire to build careers in analytics. He finds great fulfillment in helping others grow and succeed in the field.
In addition, Mr. Sirangi regularly writes technical articles on platforms like Medium and LinkedIn, where he simplifies complex data science and AI topics for a broad audience. His writing often explores AI safety, transparency, and governance, offering practical insights on building trustworthy and secure AI systems.
Outside of his professional work, Mr. Sirangi is actively involved with nonprofit organizations and enjoys reading and writing poetry as a creative outlet. Looking ahead, he is focused on advancing the field of generative AI with a strong emphasis on privacy, security, and ethical design. He envisions playing a strategic role in shaping the future of AI—developing solutions that are not only innovative and effective but also aligned with the highest standards of integrity and responsibility. His goal is to help organizations build sustainable, trustworthy AI systems that serve both business and societal needs.
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