Sanket Srivastava

Data Scientist

Sanket Srivastava is an accomplished Data Scientist with a strong background in statistical analysis, machine learning, and artificial intelligence. He currently serves as a Data Scientist at CytoTronics, where he leverages his expertise to develop innovative data-driven solutions. Concurrently, Sanket contributes as an AI Expert in Statistics at Snorkel AI, sharing his deep insights and technical acumen with the organization.

Professional Experience

Current Roles

Data Scientist, CytoTronics (2025-01-01 to Present)

• Spearheads the development and implementation of advanced data analytics and machine learning models to drive business insights and operational efficiency

• Collaborates cross-functionally with stakeholders to identify and address complex data challenges, delivering measurable improvements in key performance metrics

• Contributes to the research and development of new data science methodologies, enhancing the company's competitive edge in the bioinformatics industry

AI Expert Contributor: Statistics, Snorkel AI (2025-01-01 to Present)

• Provides subject matter expertise in statistical analysis and modeling to support the development of cutting-edge AI solutions

• Participates in the research and testing of novel approaches to data labeling, feature engineering, and model optimization

• Delivers thought leadership through the publication of technical articles and presentations at industry conferences

Graduate Research Assistant, Boston University (2024-04-01 to Present)

• Conducts in-depth research on the applications of machine learning and deep learning in the healthcare domain

• Collaborates with interdisciplinary teams to develop and validate innovative algorithms for medical image analysis and disease prediction

• Publishes research findings in peer-reviewed journals, contributing to the scientific community's understanding of cutting-edge data science techniques

Previous Roles

Undergraduate Research Assistant, The University of Tulsa (2022-01-01 to 2023-05-01)

• Supported faculty research projects in the fields of computational biology and bioinformatics

• Developed and tested data processing pipelines, contributing to the advancement of research initiatives

Customer Advisor, Geek Squad (2021-08-01 to 2022-05-01)

• Provided technical support and guidance to customers, assisting with the diagnosis and resolution of hardware and software issues

Private Tutor, Chegg Inc. (2020-03-01 to 2020-08-01)

• Delivered personalized tutoring services to students in mathematics, statistics, and computer science subjects

Peer Tutor, The University of Tulsa (2019-01-01 to 2022-12-01)

• Helped fellow students enhance their understanding of various STEM-related courses through one-on-one and group tutoring sessions

Education

Master of Science in Data Science, Boston University (2023-09-01 to Present)

• Coursework focused on advanced data analytics, machine learning, and artificial intelligence

Bachelor of Science in Computer Science, The University of Tulsa (2019-08-01 to 2023-05-01)

• Graduated with Magna Cum Laude honors

• Recipient of the Dean's Scholarship for academic excellence

Areas of Expertise

• Statistical analysis and modeling

• Machine learning and deep learning algorithms

• Data visualization and reporting

• Bioinformatics and computational biology

• Interdisciplinary collaboration and project management

Professional Impact

• Developed predictive models that improved patient outcome forecasting by 25% for a leading healthcare provider

• Co-authored a research paper published in the "Journal of Biomedical Informatics," exploring the use of deep learning for early disease detection

• Recognized as an industry thought leader, delivering presentations on the applications of AI in the bioinformatics sector at multiple conferences

Conclusion

Sanket Srivastava is a talented Data Scientist driven by a passion for leveraging data-driven insights to drive meaningful impact. With a strong foundation in statistical analysis, machine learning, and bioinformatics, he continues to push the boundaries of what is possible in the data science field. Sanket's commitment to innovative research, collaborative problem-solving, and measurable results position him as a valuable asset to organizations seeking to harness the power of data for competitive advantage.