daniel kenzo

I am a Senior Data Scientist and Machine Learning Engineer with over four years building scalable ML and analytics solutions that align with business goals. I focus on reducing ambiguity, increasing delivered value, and minimizing rework through pragmatic, data-driven approaches.

I have led end-to-end projects including a workforce planning model used across 500+ retail stores and large-scale data migration efforts to Google Cloud Platform. I am hands-on with data wrangling, ETL, model development, validation, and monitoring.

My technical expertise spans Python, PySpark, SQL, GCP, Hadoop, and MLOps tools, and I apply modern ML techniques from Random Forests to deep learning, NLP, LLMs, RAG, and fine-tuning. I also contribute to data strategy and AI product thinking to connect technical work to executive decision-making.

I communicate fluently in English and Portuguese, publish on data strategy topics, and enjoy transforming complex, scarce, or high-variance data into reliable, actionable models that deliver measurable business outcomes.