It’s a big data that is semi structured. In this, I concentrated more on the business point of view as my own part of the project. I analyzed genre popularity through metrics like danceability, energy, and tempo (radar chart) and uncover correlations between audio features and also correlation between popularity and features and also Identifying genres with few high-popularity tracks can help uncover opportunities for artists or producers to focus on underexplored areas.
This project involves predicting real estate house prices using a Linear Regression model. The dataset was preprocessed, explored for patterns, and analyzed using advanced visualization tools. A Linear Regression model was built and evaluated to ensure high accuracy in predictions. The project demonstrates a thorough understanding of regression analysis and data-driven decision-making.
This project involves building a Prescription Parser using a Conditional Random Field (CRF) model to label words in a sentence from a doctor’s prescription with pre-defined FHIR (Fast Healthcare Interoperability Resources) labels. The solution includes data preprocessing, feature extraction, and model training to predict labels for sequences, helping to interpret prescriptions programmatically.
Hi, I’m Wisdom Emmanuel, a Machine Learning and AI Developer with a background in Mechanical Engineering and a growing passion for intelligent systems and data-driven innovation. My journey began with solving mechanical design challenges and optimizing power systems during my studies and training as a Mechanical Engineer. Over time, I became increasingly fascinated with the power of data — how it could predict outcomes, automate processes, and drive smarter decisions. That curiosity led me to pursue advanced training in Applied Artificial Intelligence at George Brown College, where I'm currently expanding my expertise in AI, machine learning, and cloud-based technologies. This unique combination of engineering logic and AI innovation gives me an edge in tackling real-world challenges. At Denisco International, I applied this perspective by building ML models that improved inventory management and reduced stockouts by 30%, integrating intelligent solutions directly into supply chain operations. My skillset spans: Engineering Logic + Analytical Thinking from years of technical training Programming & AI Tools: Python, TensorFlow, PyTorch, scikit-learn Data Visualization & Deployment: Tableau, Power BI, Django, AWS, MongoDB I believe in using technology to create efficient, sustainable, and scalable solutions — whether in industrial systems, product demand forecasting, or AI-driven automation. I'm driven by curiosity, innovation, and a mission to bridge the gap between traditional engineering and modern AI. Let’s connect and turn complex challenges into powerful, smart solutions.
Wisdom Emmanuel
24 October, 1994
Mississauga, Ontario
+1-437-662-3062
It's all about the humans behind a brand and those experiencing it, br we're right there. In the middle performance quick.
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