Kingsley O•••

About

On the record

I'm a data science intern with a background in control engineering, currently gaining hands-on experience working with real-world projects, building machine learning pipelines, and supporting cross-functional teams. Over the past year, I’ve transitioned from Python-based analytics into applied machine learning, during which I've gained skills in model training, and evaluation and core data science tools. I'm currently supporting a data science team by contributing to data sourcing, preprocessing, and early-stage model development. My recent work includes building and evaluating supervised and unsupervised models, applying techniques such as cross-validation, hyperparameter tuning, and accuracy optimization, to manage model performance. I’m eager to grow into more advanced roles involving experimentation, performance tracking, and model refinement while continuing to build tools and insights that solve real-world problems. Skills: Python, pandas, NumPy, matplotlib, seaborn, scikit-learn, Git, Jupyter, Google Colab, Kaggle Core Focus: EDA, Feature Engineering, Supervised Learning, Model Evaluation, ML Pipelines