Victor Adeoye

9113 Thistledown Rd, 21117, Owings Mills, United States.

About

Dynamic and results-driven Product Manager and Business Process Optimization Specialist with over a decade of experience in digital health, clinical workflow optimization, healthcare informatics, and AI-driven healthcare solutions. Adept at leading cross-functional teams, product strategy, and business process automation to drive operational efficiencies, patient engagement, and digital transformation. Skilled in Waterfall, Agile, Scrum, SAFe, and Lean methodologies, with a proven track record of developing and scaling SaaS solutions, healthcare analytics, digital health insurance platforms, AI-powered disease surveillance tools, and electronic medical records systems. Proficient in leveraging data analytics, financial modeling, and market intelligence to inform strategic decision-making, enhance stakeholder collaboration, and deliver innovative healthcare solutions.

Work

Optimum Health System
|

Product and Operations Analyst

Full-time

Summary

● Develop operational and Product KPIs, analyse metrics, and provide actionable insights to leadership to enhance decision-making, increase operational efficiency, align with CARF standards and improve compliance by 20%. ● Developed & analysed KPI dashboards, to drive insights and increase product (Mallow) adoption and user engagement by 20%. ● Lead data-driven process improvements using Excel (Pivot table, XLookup) Power BI & SQL, optimizing case management efficiency by 40%. ● Implement and manage automated notification system (Google Apps Script), ensuring 100% completion of Therapist and Case Manager documentation.

Kabiosi Groups (Lockeyly)
|

Product Manager

Full-time

Summary

● Led feature development prioritization based on user analytics, enhancing customer experience by 25%. ● Employ market research and competitive analyses using Google Analytics to increase product positioning effectiveness by 20%, resulting in a stronger go-to-market strategy (GSM). ● Defined and refined LocKeyly’s MVP features, achieving 95% milestone delivery in the first development cycle. ● Conducted A/B testing on product features and UI/UX designs, leveraging Google Analytics and user behavior tracking to optimize market positioning effectiveness by 20% and improve feature adoption rates.

Auburn University – Harbert College of Business
|

Graduate Assistant (Full Tuition Waiver Recipient)

Part-time

Summary

• Conducted market research and business case analysis, enhancing the quality of marketing research papers and faculty publications. • Assisted faculty in optimizing Canvas usage, improving course content delivery and student engagement, leading to a 30% increase in student satisfaction. • Designed and implemented student support strategies, fostering effective communication channels for improved academic experiences.

KT Consulting
|

Business Analyst (MBA Internship)

Internship

Summary

May to August 2023 ● Developed a business case analysis framework for enterprise SaaS transition, leading to a 10% revenue increase. ● Conducted market research to gain product and industry knowledge for 275 SaaS, EMS and AI integrations, analyse research result and make recommendations to help deliver value and quality. ● Conducted cost-benefit analysis and financial modelling, optimizing pricing structures and reducing costs by 15%. ● Led enterprise-wide process mapping and optimization, reducing inefficiencies by 20% through automation and Lean methodologies. ● Researched and integrated AI-driven analytics solutions, improving decision-making speed by 25%.

InStrat Global Health Solution
|

Product and Business Lead, Digital Health Insurance

Full-time

Summary

January 2021 to July 2022 ● Led cross-functional team in developing and managing digital health insurance software, securing 3 accounts each worth $131,450 with $12,000 recurring annual revenue in 6 months. ● Secured and built more accounts worth $1M+, developing strategies for customer acquisition and retention. ● Identified impediments, conducted root cause analysis on them, resolved and prevented their recurrence. ● Conducted customer journey mapping and data-driven optimizations, leading to 15% growth in retention rates. ● Designed and executed e-learning training modules for healthcare professionals, expanding the platform’s adoption. ● Continuously improved the product by actively seeking feedback from healthcare stakeholders, clinicians, and patients, communicating them to the team & incorporated them into the product backlog. ● Implemented A/B testing to assess feature impact, refine user experience, and optimize engagement strategies, leading to improved adoption rates. ● Optimized platform usability and revenue models based on real-time analytics and customer feedback resulting in a 10% revenue increase in 2021 and a subsequent 15% increase in 2022.

Heartisan: Entrepreneurial Experience
|

Managing Partner and Product Manager

Part-time

Summary

February 2020 – November 2021 ● Spearheaded data-driven strategies resulting in a 20% increase in Monthly Active Users (MAUs) and a 15% rise in Customer Lifetime Value (CLTV). ● Directed cross-functional teams in developing and executing company and product strategies, vision, and roadmaps. ● Managed product backlog and ensured timely delivery of high-quality products by translating strategies into actionable tasks for development. ● Led the team to generate $50,000 in business revenue within 6 months. ● Improved customer satisfaction and retention rates by 10% through user tracking and analysis tools, fostering collaboration and communication using agile methodologies and tools like Jira, Confluence, and Figma. ● Conducted A/B testing on marketing campaigns and product features, leading to a 12% increase in user engagement and optimizing feature adoption.

InStrat Global Health Solution
|

Healthcare Program Manager

Full-time

Summary

● Led a USAID-funded project, implementing AI-driven predictive analytics and automated alert systems for TB outbreak tracking, using Python, Power BI, and Tableau to improve TB outbreak prevention by 80% and resource optimization by 70%. ● Led a team for the UNICEF-funded evaluation of Minimum Service Package (MSP) implementation in Ondo State, improving healthcare accessibility by 30% in underserved communities. ● Coordinated the implementation of a UK Space Agency-funded e-health project, leading to a 15% reduction in maternal and child mortality. ● Developed a framework for health data interoperability testing, achieving 100% integration with the District Health Information System 2 (DHIS 2), increasing coverage and national acceptance of InStrat software. ● Coordinated the development and deployment of video training courses for 4,000 frontline health workers, achieving a 60% pass rate and contributing to a 15% reduction in maternal and child mortality in project regions. ● Designed and tested AI-driven content personalization for health education modules, increasing engagement and retention rates by 35%.

Royal Hospital Equipment Services
|

Marketing Manager

Full-time

Summary

● Developed and executed B2B & B2C marketing strategies, increasing revenue by 50% in 2016 and 70% in 2017. ● Led competitive market analysis and sales expansion, contributing to growth in new territories. ● Designed and executed targeted digital marketing campaigns, optimizing lead conversion by 30%. ● Established customer retention and support strategies, increasing repeat business by 15%.

Publications

Role of digital health insurance management systems in scaling health insurance coverage in low- and Middle-Income Countries: A case study from Nigeria

Published by

Frontiers in Digital Health

Summary

Key elements for successful scaling of digital health insurance schemes across Nigeria and similar contexts include: (i) ease of use, (ii) existing digital infrastructure to support electronic insurance systems, and (iii) trust manifested via data encryption, maintaining audit trails for all data, and in-built fraud prevention processes. Our findings affirm that digital health technology can play a role in the attainment of UHC in LMICs.

Contact tracing in epidemiology: Lessons learnt from COVID-19

Published by

Magna Scientia Advanced Research and Reviews

Summary

Contact tracing is a powerful public health tool used in identifying people that might have been in contact with an infected person to assess the potential of being infected and transmitting the diseases. This review explores the history, implementation, and effects of contact tracing, as a significant public health strategy during the COVID-19 pandemic. The review started by giving a historical summary of contact tracing, then links it to early efforts at disease control for diseases such smallpox and TB. We further examine pre-COVID-19 contact tracing approaches, such as manual and early digital tools employed during past epidemics like Ebola and Zika. While investigating the development of digital innovations—such as Bluetooth-based applications and location data tracking—that were used to improve tracing efforts—the review emphasises the efficacy and problems of conventional manual contact tracing during COVID-19. Notably, we examine the hybrid models that combine manual and digital approaches, proving higher compliance and efficiency. Along with the difficulties countries with less efficient tracing systems—such as the United States and India— the review also includes worldwide case studies showing successful implementations in countries such Taiwan, South Korea, and New Zealand. Emphasising the need of public trust and the effect of the digital divide, it also covers public compliance and social elements affecting involvement in contact tracing programs. In order to strengthen public health preparedness for next pandemics, we offer potential options for contact tracing resilience, arguing for contact systems backed by technological developments and ethical protections. Informing best practices for next epidemiological tactics, this thorough analysis uncovers important insights and lessons learnt from the COVID-19 pandemic.

Data visualization in diseases epidemiology Data visualization in diseases epidemiology

Published by

GSC Advanced Research and Reviews

Summary

Data visualization has transformed diseases epidemiology by empowering researchers, practitioners, and policymakers to unleash complex patterns, trends, and relationships. It uncovers hidden correlations and clusters, tracks disease outbreaks and transmission dynamics, identifies high-risk populations and areas, evaluates intervention effectiveness, and communicates complex findings to diverse audiences. Through exemplary visualizations, data visualization distills complex epidemiological data into actionable insights, informing data-driven decisions that promote public health and well-being. As advanced visualization techniques continue to evolve, they accelerate the understanding of disease dynamics, aid in the allocation of resources, and drive proactive strategies for disease mitigation. However, barriers such as data quality, infrastructure limitations, and the need for skilled personnel persist, especially in under-resourced settings. This paper presents a critical evaluation of the role of data visualization in epidemiological practice, discussing its implications for risk identification, policy formulation, and the proactive management of health crises. The insights gained from this paper will illuminate pathways for future innovations in disease surveillance and control.

Skills

Workflow optimization
Lean methodologies
Process Automation
Six Sigma
Healthcare system planning
Project coordination
Product Management
Jira
Tableau
Power BI
Python
SQL
Excel
Software Development Lifecycle (SDLC)

Certificates