Solomon A. Owerre

Background

About Solomon A. Owerre

I am a Senior Data Scientist and Machine Learning Engineer with 7+ years of experience in Python, SQL, PySpark, and version control systems like GitHub and GitLab. My expertise includes predictive analytics (supervised, semi-supervised, and unsupervised ML), natural language processing (NLP), simulation, data visualization, and graph theory. I have successfully led multiple end-to-end data science projects, including dynamic pricing optimization, demand forecasting, anomaly detection, product classification, and more. My experience includes deploying machine learning solutions in the cloud, implementing MLOps practices, and building CI/CD pipelines. I specialize in developing Airflow DAGs, utilizing Docker and Kubernetes, and leveraging cloud platforms such as GCP (BigQuery, Dataproc, Vertex AI, Cloud Composer) and AWS (Redshift, EC2, S3, Athena). I also work with cutting-edge large language models (e.g, BERT, GPT, Mistral, LLaMA 3, and Claude) for tasks like brand normalization and product classification. I am passionate about solving complex problems and constantly advancing my technical and analytical skills. I bring focus, discipline, and creativity to my work and enjoy mentoring and coaching data scientists. My academic background includes a Ph.D. in Theoretical Physics, four years of postdoctoral research, and over 50 publications in high-impact scientific journals.