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I am a detail-oriented machine learning engineer with a proven track record of building, training, and deploying scalable ML models. I excel at data preprocessing, feature engineering, and leveraging PyTorch and NumPy to solve real-world problems, while integrating ML solutions into production environments for measurable business impact. With experience across predictive analytics, NLP, and computer vision projects, I collaborate closely with data engineers and stakeholders to translate business needs into deployable solutions on cloud platforms like Azure and AWS. I’m passionate about clean code, model monitoring, and continuous improvement to drive value.…I am a detail-oriented machine learning engineer with a proven track record of building, training, and deploying scalable ML models. I excel at data preprocessing, feature engineering, and leveraging PyTorch and NumPy to solve real-world problems, while integrating ML solutions into production environments for measurable business impact. With experience across predictive analytics, NLP, and computer vision projects, I collaborate closely with data engineers and stakeholders to translate business needs into deployable solutions on cloud platforms like Azure and AWS. I’m passionate about clean code, model monitoring, and continuous improvement to drive value.

Ayodele Oluwatobiloba

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am a detail-oriented machine learning engineer with a proven track record of building, training, and deploying scalable ML models. I excel at data preprocessing, feature engineering, and leveraging PyTorch and NumPy to solve real-world problems, while integrating ML solutions into production environments for measurable business impact. With experience across predictive analytics, NLP, and computer vision projects, I collaborate closely with data engineers and stakeholders to translate business needs into deployable solutions on cloud platforms like Azure and AWS. I’m passionate about clean code, model monitoring, and continuous improvement to drive value.…I am a detail-oriented machine learning engineer with a proven track record of building, training, and deploying scalable ML models. I excel at data preprocessing, feature engineering, and leveraging PyTorch and NumPy to solve real-world problems, while integrating ML solutions into production environments for measurable business impact. With experience across predictive analytics, NLP, and computer vision projects, I collaborate closely with data engineers and stakeholders to translate business needs into deployable solutions on cloud platforms like Azure and AWS. I’m passionate about clean code, model monitoring, and continuous improvement to drive value.

Available to hire

I am a detail-oriented machine learning engineer with a proven track record of building, training, and deploying scalable ML models. I excel at data preprocessing, feature engineering, and leveraging PyTorch and NumPy to solve real-world problems, while integrating ML solutions into production environments for measurable business impact.

With experience across predictive analytics, NLP, and computer vision projects, I collaborate closely with data engineers and stakeholders to translate business needs into deployable solutions on cloud platforms like Azure and AWS. I’m passionate about clean code, model monitoring, and continuous improvement to drive value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist at Wragby Business Solutions and Technologies Limited

July 1, 2023 - July 1, 2024

Applied machine learning and data science techniques to real business problems such as predictive and churn analysis. Collaborated with Data Engineers for ELT of data. Analyzed structured and unstructured datasets to derive insights such as growth rate, profit, and changes in customer base. Developed a document intelligence model for extracting data from invoices and implemented end-to-end ML workflows under the supervision of senior data scientists. Leveraged Microsoft Azure Services (Azure ML, Storage, and Compute resources) to support model training, deployment, and monitoring workflows.