Results-driven Data Analyst with 6 years of experience transforming large, complex datasets into actionable insights to optimize safety operations, improve business strategies, and drive organizational growth. Proficient in SQL, Spark, Tableau, and Python, with deep expertise in developing performance metrics, automating workflows, conducting A/B testing, and performing behavioral analysis to drive data-informed decisions. Adept at building scalable data solutions, creating intuitive dashboards, and delivering robust reporting systems that support operational efficiency and strategic objectives. Proven ability to collaborate with cross-functional teams, including engineering, product, and operations, to develop innovative solutions that balance safety, user experience, and business growth. Recognized for leveraging advanced analytics and predictive models to streamline processes, improve decision-making accuracy, and achieve organizational goals. Committed to delivering impactful data solutions that enhance safety, reduce risks, and optimize operational performance across various business functions.
Programming Languages: SQL, Python (pandas, NumPy, matplotlib, seaborn)
Data Processing Tools: Spark, Hadoop
Data Visualization: Tableau, Power BI, matplotlib, seaborn
Workflow Automation & ETL: Airflow, Informatica, AWS Glue
Database Management: MySQL, PostgreSQL, Snowflake, BigQuery
Statistical Analysis: A/B Testing, Hypothesis Testing, Predictive Modeling
Cloud Platforms: AWS (Redshift, S3), Google Cloud Platform (BigQuery, Dataflow), Azure
Version Control: Git, GitHub, GitLab
Dashboarding Tools: Tableau, Power BI
Other Tools & Platforms: JIRA, Confluence, Apache Kafka
Testing & Automation: Selenium, Python Scripting, Data Validation Frameworks
DevOps: CI/CD Pipelines, Jenkins, Docker, Kubernetes