I’m a data analyst with 4+ years of experience in digital marketing analytics, data engineering, and research-focused academic support. I routinely analyze large-scale datasets (tens of millions of events per month, 10TB+ of marketing data), clean and transform data, build predictive models, design ETL pipelines, and develop interactive dashboards to optimize campaigns, pricing, and operational metrics.
I’m proficient in Python, R, SQL, BigQuery, Snowflake, Tableau, Looker, GA4, and AWS, with expertise in data governance, attribution modeling, A/B testing, time-series forecasting, and marketing ROI measurement. I enjoy mentoring peers, leading workshops, and documenting analytics workflows to enable reproducibility and cross-functional knowledge sharing across global teams.
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