Daniel

Data Scientist

TELUS International • Freiberufler

Jan 2023 - Present • 3 yrs 5 mos

At Telus Digital, I have worked on data-driven AI initiatives focused on improving model performance, optimizing decision systems, and generating actionable insights from large-scale datasets. Key achievements: • Built and optimized machine learning models to improve prediction accuracy and support enterprise AI solutions • Conducted large-scale data analysis to identify trends, anomalies, and performance gaps across millions of records • Developed and tested data pipelines for preprocessing, feature engineering, and model evaluation to improve efficiency and scalability • Applied statistical analysis and experimentation techniques to validate model improvements and measure business impact • Designed performance dashboards and analytical reports to support strategic decision-making for stakeholders • Collaborated with engineering and product teams to deploy and monitor AI models in production environments, ensuring reliability and continuous improvement