Experienced Data Scientist with a strong background in data analysis, machine learning, and statistics. Currently driving innovation and data-driven decision-making at Prolific, developing and integrating advanced analytics models into the product ecosystem. Technical expertise spans Python, SQL, R, and data engineering tools like dbt. Proven track record in both start-up and corporate environments, with a proactive approach to solving complex problems and driving strategic growth.
Data Analysis: Proficient in extracting, cleaning, and analyzing data using SQL, Python, and R Experienced in exploratory data analysis, statistical modeling, and predictive analytics
Machine Learning: Skilled in building, training, and deploying machine learning models
Data Engineering: Experience with ETL pipelines to use data from various sources Skilled in ensuring data integrity, optimizing performance, and automating workflows using dbt Experience with AWS and GCP
A/B Testing & Experimentation: Capable of conducting experiments to validate business hypotheses and inform product decisions
Communication: Able to translate complex data findings into actionable insights for diverse stakeholders
Collaboration: Experienced in working with cross-functional teams to achieve project goals, familiar with Agile frameworks