Database-Driven Analytics System (MySQL)
→
Summary
Developed a robust database-driven analytics system using MySQL to manage and analyze structured data.
Highly skilled Data Scientist specializing in the intersection of data engineering and ethical AI, with expertise across the Azure MLOps lifecycle. Proven ability to transform complex MySQL datasets into deployed Deep Learning and NLP solutions, ensuring robust data privacy and fairness from initial architecture through deployment. Adept at leveraging advanced analytics and responsible AI principles to drive impactful, ethically sound data-driven decisions.
Intern
Zaria City, Kaduna, Nigeria
→
Summary
Spearheaded the design, development, and deployment of advanced machine learning and deep learning solutions within an ethical AI framework.
Highlights
Architected and managed structured datasets using MySQL, optimizing data storage and retrieval for efficient data processing.
Developed and evaluated robust machine learning and deep learning models to address and solve complex real-world data challenges.
Orchestrated the end-to-end model lifecycle using Azure Machine Learning, from training to seamless deployment, enhancing operational efficiency.
Implemented advanced NLP solutions for text classification, sentiment analysis, and information extraction, improving data insights.
Constructed time series forecasting models, leveraging trend analysis for accurate future predictions and strategic planning.
Integrated Responsible AI principles, ensuring fairness, transparency, and ethical data use throughout the model development pipeline.
Maintained strict compliance with data privacy and ethics standards during data collection and model deployment, safeguarding sensitive information.
→
Bachelor
Computer Science
Grade: 4.5/5.0
→
Foundation Program
Issued By
Cisco
Issued By
3MTT DeepTech
Issued By
Huawei
Python (Advanced), SQL (MySQL), Java.
Excel, ODK, Kobo collect, Google workspace.
Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, Keras.
Azure Machine Learning (AML), MLflow, MySQL Workbench, Power BI, Git.
NLP, Time Series Forecasting, Deep Learning, MLOps, Image Classification.
Bias Mitigation, Data Anonymization, HIPAA Compliance, AI Ethics, Fairness, Transparency.
Relational Databases, Structured Data Storage, SQL Query Optimization.
End-to-End Data Pipelines, MySQL Integration.
Machine Learning Models, Deep Learning Models, Model Evaluation, Feature Engineering, Model Tuning.
→
Summary
Developed a robust database-driven analytics system using MySQL to manage and analyze structured data.
→
Summary
Architected and implemented a Convolutional Neural Network (CNN) for image classification tasks.
→
Summary
Developed advanced forecasting models to predict future trends using historical data.