Israel Aloagbaye Igietsemhe

WORK HISTORY

EDUCATION

ABOUT ISRAEL ALOAGBAYE IGIETSEMHE

I am a seasoned data scientist with over seven years of experience, I am passionate about applying machine learning models to solve complex supply chain challenges. My expertise in this area has allowed me to work on a range of projects focused on demand forecasting, inventory optimization, and new product introduction.Throughout my career, I have had the opportunity to work with top companies in the industry, including Nestle Canada, Unilever Canada, and Loblaw Companies Limited. In these roles, I collaborated closely with supply chain analytics teams to develop and implement innovative solutions that drove significant improvements in operational efficiency and performance.What I love most about building machine learning models is the ability to turn complex data into actionable insights that drive meaningful change. Whether I am working on a forecasting model or an optimization algorithm, I am always driven by the challenge of finding new ways to use data to solve real-world problems.Overall, I am a dedicated and results-driven data scientist who is committed to delivering high-quality work that makes a real impact. I look forward to exploring new opportunities to apply my skills and expertise in the field of supply chain optimization/:PycharmJupyter Notebook/JupyterLabGithub/GitlabShell scriptingR studioCloud - AWS/GCP/Microsoft Azure/IBM Watson Studio AirflowTeradata studioPower BIJira & ConfluenceMiro - Whiteboard :I love to play chess and I am an intermediate-level piano player.I have two published books on personal development: Success Basics and Why Am I here?