Paul Sentongo

Background

About Paul Sentongo

Data Scientist with a expertise in transforming complex data into actionable intelligence and scalable cloud-based solutions. My work sits at the intersection of deep-dive business analysis and the practical application of machine learning, powered by cloud infrastructure on GCP and AWS. I thrive on owning the end-to-end data lifecycle: from data extraction and wrangling with SQL and Python (Pandas, NumPy), to building insightful Microsoft Excel & Power BI dashboards, and developing statistical models that directly inform strategy. My current focus is on elevating this analytical foundation by engineering robust, production-ready systems. My core technical arsenal includes: · Machine Learning & Modeling: Proficient in the full ML lifecycle using Scikit-learn, TensorFlow/PyTorch, and Statsmodels for tasks including predictive modeling, classification, and natural language processing (NLP). · Cloud Computing & MLOps: Hands-on experience building and deploying data pipelines and models on Google Cloud Platform (GCP) and Amazon Web Services (AWS). Skilled in leveraging services like BigQuery, S3, EC2, Lambda, and Cloud Functions to create scalable and efficient data solutions. · Data Analysis & Engineering: Expert in SQL and Python for complex data manipulation, rigorous A/B Testing, and root-cause analysis. I don't just surface insights; I ensure the data architecture supports them. · Visualization & Storytelling: Creating clear, compelling dashboards in Tableau and Looker to communicate complex findings to both technical and non-technical stakeholders, driving data-informed decision-making across the organization. I am passionate about solving high-impact business problems by applying a unique blend of analytical rigor, machine learning expertise, and cloud engineering principles. I am actively seeking to contribute to teams that are building the future of data-driven products. I am open to connecting and discussing data science, ML in the cloud, or potential collaborations.