Thought leader in high visibility arenas, including conferences, podcasts, and teaching platforms.
Decade of experience building billion dollar revenue generating applications and products for fortune 500 companies.
Reputation of strong management acumen and influence developed in corporate and nonprofit settings, trained communicator
Lauded for data driven approach to driving equal opportunity in technology spaces, with a focus on women and minorities
Tobi is a leader in Artificial Intelligence (AI) and Machine Learning (ML); she’s also built a reputation as an expert in ML and data science. She is versed in big data tools such as Spark, AWS, Docker, Kafka as well as statistics, software engineering, and ML algorithms. She speaks on these topics frequently at local and national tech events such as PyCon, Strata, and Mavens I/O. A tireless achiever, Tobi is currently in the process of writing a book on AI with a major publisher.
With a Master’s degree in applied mathematics from Johns Hopkins, Tobi is most passionate about leading high-impact initiatives and solving complex technical problems. Tobi’s leadership style is all about authenticity, transparency, and leaning into strengths. She tends to bring cohesiveness and strategy to teams and focuses on effective communication at all levels. Tobi is a Machine Learning expert and has the ability to work cross-functionally across different groups to deliver due to her influence. This has enabled her to build predictive systems for Fortune 500 companies resulting in billions in revenue and multiple patents.
Aside from the decade of experience in technology that Tobi has under her belt, she is Ivy-league educated and completed her Bachelor’s degree at the University of Pennsylvania. In her latest venture, Tobi has drawn on her passion for AI to found Ilekun Health, a company whose mission is to bring transparency to health care. Ilekun Health’s proprietary technology gleans insight around provider quality, services offered, and price from a deluge of complex unstructured health data using artificial intelligence (AI). The insight produced is easy to consume and access thereby empowering patients to make sound decisions around their health.
Tobi believes in giving back by sharing her talents with the community. Nigerian born and a Jersey native, she is a fellow of the American Association of University Women and a board member of nonprofit, Penn Probono Advisory Consulting (PennPAC). A fitness enthusiast, Tobi is currently working towards certification to teach High-Intensity Interval Training (HIIT).
AI, Machine Learning, Data Science, Big Data
Statistics, Applied Mathematics, Software Engineering
Leadership and mentorship
Overcoming double minority (intersectionality) status
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At the Strata Data Conference in New York City in the fall, Paige Roberts of Syncsort had a chance to sit down with Tobi Bosede, Sr Machine Learning Engineer, shortly after her presentation. In the first of this three-part blog series, Bosede explains what goes into being a Machine Learning Engineer as well as some of the projects she is currently involved with.
A common task for programmers these days is writing code to analyze data from various sources and output information for use by non-coders or business executives. Although you can use any language for this type of analysis, I’ve found that R simplifies working with almost any modern data type, including XML, a popular choice for storing large amounts of complex data.