Cliff Mbah

Data Scientist/Machine Learning Engineer with broad-based experience in building, managing, and optimizing end-to-end machine learning pipelines. These include data ingestion and integration, exploratory data analysis, feature engineering, data visualization, data preprocessing, model building, hyperparameter tuning, model evaluation, model registration and deployment, and model monitoring.

Expert in leveraging ML algorithms, including xgboost, lightgbm, random forest, gradient boosting, logistic regression, support vector machines, decision trees, clustering, and deep learning (neural networks), to build models used in solving key business problems.

Expert in programming languages such as Python, Pyspark, and SQL.

Highly proficient in cloud services (Azure Databricks, Datarobot, and AWS SageMaker)

Expert in hyperparameter tuning (hyperopt, GridSearchCV and RandomSearchCV), model tracking (MLflow), and MLOps

Effective communicator, team worker, creative thinker, and mentor to junior data scientists in the industry.