I’m Favour, an Applied Machine Learning Scientist with 8 years of experience delivering ML solutions across private, public, and consumer sectors. My work sits at the intersection of data science, engineering, and product development where I don’t just build models, I also build the tools and frameworks that make model building faster, reusable, and more scalable. I design, train, and evaluate predictive models (e.g., risk, fraud) while contributing to internal ML tooling like custom Python packages and configuration-driven workflows that standardize data preprocessing, transformation, tuning, and evaluation. I also lead initiatives around post-deployment model monitoring, building tools that track feature drift, concept drift, and performance degradation giving our team actionable insights for retraining and model governance. With a background in software development, I bring an engineering mindset to machine learning, constantly focused on automation, reproducibility, and operational excellence. 💡 Key Strengths: - ML Product Development: Build reusable ML tools, internal packages, and YAML-based configuration systems for end-to-end modeling. - MLOps Awareness: Collaborate closely with MLOps and data engineering teams; contribute to model monitoring, documentation, and production readiness. - Software Development: Strong foundation in building scalable systems and automating repetitive ML processes. - Leadership & Mentorship: Passionate about guiding aspiring data professionals and promoting diversity in tech. 🏆 Key Achievements: - Published in MDPI Journal on multi-timescale energy consumption modeling using hybrid deep learning. - Certified Tech Trainer, consistently delivering top-tier training to professionals across multiple industries. - Insurance Times Tech & Innovation Award for Best Use of AI in Customer Experience (2024). - Speaker at Nigeria’s first-ever AI & ML Data Expo Conference. - Featured as a 2024 “Data Hero” by the Black in Data community. 🌍 Global Impact - Partnered with ITU International for Girls in ICT Day to inspire the next generation of women in tech. - Delivered keynotes and show-and-tell sessions focused on ML, tooling, and career transformation. - Active mentor and speaker in communities like Deepgram, Zion Tech Hub, and Girls in ICT.