About Me
Data Scientist with strong experience in statistical modeling, A/B testing, quantitative analysis, and machine learning across cloud platforms (Azure, AWS, GCP). Proven track record in transforming complex data into actionable insights using SQL, Python, and advanced visualization tools. Demonstrated ability to lead strategic analytics initiatives and build scalable, statistically rigorous solutions aligned with business goals. Adept at building end-to-end analytics pipelines, collaborating cross-functionally, and applying experimentation frameworks and data storytelling to influence decision-making at scale. Passionate about innovation and delivering impact in tech-driven environments. Dynamic and adaptable Data Engineer, Analyst, and Scientist with strong expertise in Python, SQL, Java, and full-stack development. Proven ability to build robust ETL pipelines, implement predictive models, and manage scalable data architecture across Azure, AWS, and GCP. Hands-on experience with big data tools (Spark, Kafka, EMR), data warehousing (Snowflake, Redshift), and DevOps (Jenkins, GitHub Actions). Proficient in deploying end-to-end solutions from data ingestion to visualization using Tableau, Power BI, and Python-based dashboards. Committed to data quality, governance, and leveraging modern technologies to extract business value from complex datasets.