Manousos Klados

I’m a passionate Data Scientist with over five years of experience transforming complex data into clear, actionable insights. With a strong foundation in statistics and computer science, I specialize in designing and deploying end-to-end machine learning solutions that drive measurable business impact.

My technical toolkit includes Python (pandas, scikit-learn, TensorFlow), R, SQL, and cloud platforms. I’m equally comfortable building sophisticated recommendation systems and conducting A/B tests to validate hypotheses. I design reproducible, automated pipelines that integrate data ingestion, cleaning, feature engineering and model monitoring to ensure robust performance in production environments.

Collaboration is at the heart of my approach. I partner closely with product managers, engineers and executives to translate ambiguous questions into rigorous analyses, then distill findings into intuitive dashboards and executive summaries. I believe that effective communication—whether through a concise slide deck or an interactive dashboard—bridges the gap between data science and decision-making.

Beyond technical work, I’m committed to continuous learning and community engagement. I contribute to open-source projects, mentor aspiring data scientists and speak at local meetups about topics like responsible AI and time-series forecasting.

Ultimately, I thrive on challenges that require both creativity and rigor. Whether it’s improving patient outcomes with predictive analytics or optimizing supply chains with demand-forecasting models, I’m driven by the opportunity to leverage data science for real-world solutions. Let’s connect and explore how we can turn your data into your next competitive advantage.