Results-driven Data Analyst and Data Engineer with expertise in designing and implementing data pipelines, building automated ETL workflows, and applying machine learning models to deliver actionable business insights. Proficient in SQL (PostgreSQL, MySQL, BigQuery, Snowflake), Python (Pandas, Scikit-learn, XGBoost, Prophet), R, Scala, and cloud platforms including Google Cloud and Microsoft Azure.
Experienced in product analytics using tools such as Amplitude and Mixpanel to analyze user behavior, identify trends, and optimize product performance. Skilled in creating interactive dashboards and reports with Power BI, Tableau, Looker Studio, and Google Sheets to visualize key performance indicators and support data-driven decision-making.
Proficient in data workflow orchestration with Apache Airflow, containerization using Docker and Kubernetes, and version control with Git. Proven ability to collaborate with cross-functional teams to gather requirements and translate data into strategic recommendations.
Certified in AI development, exploratory data analysis, and machine learning, continuously leveraging modern data tools and techniques to solve complex problems and improve operational efficiency.