Data Analyst
- Collected, cleaned, and prepared large-scale datasets from multiple sources, ensuring high data quality and readiness for analysis.
- Conducted advanced data analysis using SQL, Python, and R to derive actionable insights supporting business decisions.
- Designed and developed interactive dashboards and reports using Power BI, Tableau, and Excel to effectively present KPIs and trends.
- Built and maintained scalable ETL pipelines to automate data ingestion and transformation processes.
- Applied statistical techniques, predictive modeling, and machine learning in Python/R to forecast business outcomes and trends.
- Wrote clean, reusable, and efficient code for data processing, reporting, and automation tasks.
- Partnered with cross-functional teams to gather requirements and deliver customized data solutions.
Implemented robust data governance, quality checks, and security measures for managing sensitive data. - Monitored key business metrics and delivered insights to enhance operational efficiency and strategic decision-making.
- Resolved data-related issues, troubleshot system errors, and ensured stability of data infrastructure.
Utilized cloud platforms like AWS for data storage, processing, and deployment of scalable analytics solutions. - Stayed updated with industry trends and integrated best practices in data analytics, engineering, and visualization.