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I am a results-driven Data Scientist and Machine Learning Engineer with over 12 years of engineering experience, including more than 9 years focused on developing and deploying scalable machine learning algorithms and predictive models. I specialize in leveraging advanced statistical analysis, deep learning, and cloud-based technologies such as AWS, GCP, and Azure to solve complex business challenges and deliver actionable insights across various industries. I am passionate about designing end-to-end machine learning pipelines, feature engineering, and implementing MLOps best practices that drive business value. I am highly skilled in Python, R, TensorFlow, PyTorch, and big data tools like Spark and Hadoop. My experience spans working with cross-functional teams, automating ML lifecycles, and leading technical workshops to encourage adoption of AI innovations. I am an enthusiastic learner and collaborative team player who enjoys driving innovation and operational excellence through AI and data science technologies.…I am a results-driven Data Scientist and Machine Learning Engineer with over 12 years of engineering experience, including more than 9 years focused on developing and deploying scalable machine learning algorithms and predictive models. I specialize in leveraging advanced statistical analysis, deep learning, and cloud-based technologies such as AWS, GCP, and Azure to solve complex business challenges and deliver actionable insights across various industries. I am passionate about designing end-to-end machine learning pipelines, feature engineering, and implementing MLOps best practices that drive business value. I am highly skilled in Python, R, TensorFlow, PyTorch, and big data tools like Spark and Hadoop. My experience spans working with cross-functional teams, automating ML lifecycles, and leading technical workshops to encourage adoption of AI innovations. I am an enthusiastic learner and collaborative team player who enjoys driving innovation and operational excellence through AI and data science technologies.

BIDEMI ADEDOKUN

Data Scientist, AI Engineer, Developer, +1

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I am a results-driven Data Scientist and Machine Learning Engineer with over 12 years of engineering experience, including more than 9 years focused on developing and deploying scalable machine learning algorithms and predictive models. I specialize in leveraging advanced statistical analysis, deep learning, and cloud-based technologies such as AWS, GCP, and Azure to solve complex business challenges and deliver actionable insights across various industries. I am passionate about designing end-to-end machine learning pipelines, feature engineering, and implementing MLOps best practices that drive business value. I am highly skilled in Python, R, TensorFlow, PyTorch, and big data tools like Spark and Hadoop. My experience spans working with cross-functional teams, automating ML lifecycles, and leading technical workshops to encourage adoption of AI innovations. I am an enthusiastic learner and collaborative team player who enjoys driving innovation and operational excellence through AI and data science technologies.…I am a results-driven Data Scientist and Machine Learning Engineer with over 12 years of engineering experience, including more than 9 years focused on developing and deploying scalable machine learning algorithms and predictive models. I specialize in leveraging advanced statistical analysis, deep learning, and cloud-based technologies such as AWS, GCP, and Azure to solve complex business challenges and deliver actionable insights across various industries. I am passionate about designing end-to-end machine learning pipelines, feature engineering, and implementing MLOps best practices that drive business value. I am highly skilled in Python, R, TensorFlow, PyTorch, and big data tools like Spark and Hadoop. My experience spans working with cross-functional teams, automating ML lifecycles, and leading technical workshops to encourage adoption of AI innovations. I am an enthusiastic learner and collaborative team player who enjoys driving innovation and operational excellence through AI and data science technologies.

Available to hire

I am a results-driven Data Scientist and Machine Learning Engineer with over 12 years of engineering experience, including more than 9 years focused on developing and deploying scalable machine learning algorithms and predictive models. I specialize in leveraging advanced statistical analysis, deep learning, and cloud-based technologies such as AWS, GCP, and Azure to solve complex business challenges and deliver actionable insights across various industries. I am passionate about designing end-to-end machine learning pipelines, feature engineering, and implementing MLOps best practices that drive business value.

I am highly skilled in Python, R, TensorFlow, PyTorch, and big data tools like Spark and Hadoop. My experience spans working with cross-functional teams, automating ML lifecycles, and leading technical workshops to encourage adoption of AI innovations. I am an enthusiastic learner and collaborative team player who enjoys driving innovation and operational excellence through AI and data science technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead Data Science Consultant at Wells Fargo

February 1, 2023 - Present

Designed and deployed AI solutions using Convolutional Neural Networks to automate customer compensation workflows, reducing project timelines by 65%. Developed large language model-based solutions leveraging prompt engineering, RAG, LangChain, and LLAMA architectures to streamline customer remediation. Collaborated with cross-functional teams for scalable AI model development aligned with business goals. Automated ML lifecycle stages via REST APIs with robust API integration, model versioning, and monitoring. Mentored junior AI engineers and led CI/CD integrated deployment pipelines to improve deployment frequency by 40%. Facilitated workshops and documentation to promote enterprise-wide MLOps adoption and model governance.

Data Scientist at Dell Technologies

January 31, 2023 - August 25, 2025

Engineered predictive models using supervised learning to analyze customer behavior improving lead conversion rates by 30%. Developed ML models for anomaly detection and automated root cause analysis, which reduced system downtime by 45%. Collaborated with data engineers and stakeholders to clean, transform, and integrate diverse large datasets using Python, SQL, and AWS. Delivered interactive real-time dashboards and visualizations to support executive decision-making. Implemented end-to-end MLOps pipelines with version control and automated monitoring, enhancing model reliability and scalability.

Senior Data Scientist / AI Engineer at Hyundai

January 31, 2022 - August 25, 2025

Designed NLP solutions to detect hazards and sub-hazards from customer reports, improving response efficiency by over 80% and contributing to avoidance of $200M+ in regulatory fines. Developed ML models for vehicle recall indicator detection using statistical alert systems. Deployed and monitored AI/ML models in production with MLflow ensuring continuous performance improvement. Fine-tuned pre-trained transformer models like GPT and BERT on domain-specific datasets enhancing NLP task outcomes. Conducted research and integrated emerging AI technologies to innovate customer support and finance automation.

Automated Logistician at US Army

October 31, 2021 - August 25, 2025

Supported classified logistic assignments adhering to U.S. Army protocols. Maintained and streamlined logistical records and reporting workflows. Managed military inventory systems with high accuracy enabling real-time asset tracking. Participated in strategic logistics planning to optimize flow across multiple units.

ML Python Developer / Data Analyst at New Mexico State University

January 31, 2021 - August 25, 2025

Developed CNN-based image classification models for plant disease identification, reducing testing costs by 55%. Led full-lifecycle AI projects from data ingestion through deployment using TensorFlow, Keras, and Scikit-learn. Built containerized ML solutions with Docker and Kubernetes on AWS integrated with CI/CD via Jenkins. Created Flask APIs for model access and implemented real-time monitoring. Conducted statistical analyses informing health research and grant funding.

Data Manager at TREBUC Technologies Limited

August 31, 2017 - August 25, 2025

Designed Excel-based dashboards increasing operational data efficiency by 15%. Applied advanced statistical modeling with R and SQL for marketing and field strategy improvements. Led reproducible studies boosting client acquisition by 40% and product sales by 25%. Forecasted regional sales performance supporting office expansion by 50%.

Data Analyst at G-planet Media, Ibadan

March 31, 2015 - August 25, 2025

Developed automated Excel dashboards with VBA enhancing employee performance reporting efficiency by 38%. Streamlined data analysis workflows with automation. Created dynamic customer reporting systems with R and Excel aiding executive decision-making. Improved sales analytics and business intelligence through continuous automation and visualization.