Federated Learning Framework for Self-Powered IoT Sensor Networks with Explainable AI: A Novel Approach for Sustainable and Privacy-Preserving Distributed Intelligence
Acm
Lead Data Scientist and AI researcher building production-grade machine learning and NLP systems with real-world impact. I’ve mentored 100+ professionals transitioning into data and AI, with 40+ securing new roles. After starting my career in banking in Nigeria, I transitioned into tech through self-learning and hands-on experience, a journey that now shapes how I teach, mentor, and build.
Using AI and data to solve meaningful problems while helping more people build impactful tech careers.
I’m passionate about building AI systems that solve real problems and create measurable impact. My work focuses on developing production-ready machine learning and NLP solutions that are practical, scalable, and designed for real users. Beyond industry work, I’m committed to mentorship and career development. Having transitioned into tech from a banking background in Nigeria, I understand how challenging it can be to navigate a nontraditional path into data and AI. That experience drives my commitment to helping others gain the skills, confidence, and opportunities they need to grow successful careers in technology.
I envision a future where AI and data are used responsibly to create opportunities, solve meaningful problems, and empower people across industries and communities. I also believe the future of technology should be more inclusive. By mentoring aspiring professionals — especially women and underrepresented groups, I hope to help create a tech ecosystem where talent, curiosity, and determination matter more than background or starting point.
Mentees supported
Mentees placed in new data & AI roles
Industries worked across (SaaS, IoT, telecoms, banking, public sector)
Published AI research papers
Talks at universities and conferences
Communities including CBF, BCS, WiDS, ElevateHer, Reed WiT, DataKind
Consulting, AI research, speaking, and mentorship for teams building responsible technology
Helping companies solve real data and AI problems from messy data and unclear strategy to building and deploying machine learning systems. I work with teams in regulated industries and growth-stage companies that need senior data leadership without the full-time hire.
Published research in NLP, federated learning, and ethical AI. Available for collaborations, advisory work, and applied ML projects in regulated industries.
Facilitating bootcamps, workshops, and cohort-based programmes, plus 1:1 and group mentorship for people moving into data and AI. I've delivered programmes for DataTriad, and mentored 100+ people with 40+ now in new data and AI roles.
Talks and panels on AI, careers in data, and building inclusive tech teams. Available for conferences, podcasts, and corporate events.
Academic work on AI, ethics, and data science — peer-reviewed research and applied studies
Arxiv
The rapid spread of digital technologies has produced data-driven feedback loops, wearable devices, social media networks, and mobile applic...
Articles and perspectives on AI, data careers, and building technology that serves people
Feedback from clients, collaborators, and professionals I've mentored
Endorsements from clients and collaborators will appear here once you add them in the admin panel.
Media coverage, interviews, and recognition across the technology industry
Rising Star
Nov 2024
Anthonette Chidinma Adanyin – Innovating with Ethical AI to Build a Fairer Tech Future.
Sep 2024Conferences, panels, and talks on ethical AI, data careers, and responsible innovation
Data Science Festival Big bash
May 16, 2026 WatchLet's discuss how we can create AI systems that truly serve humanity while respecting our values and aspirations.