Data Scientist
Current•Developed and implemented machine learning models to predict customer behavior, improving sales strategies.•Conducted data analysis using Python and R, deriving actionable insights from large datasets.•Designed and implemented scalable data engineering solutions using Microsoft Azure services, including Databricks, Azure Data Factory (ADF), and Synapse Analytics, to build robust data pipelines and automate ETL/ELT processes.•Enhanced data flow and processing efficiency for large-scale data warehousing environments, utilizing advanced PySpark and Spark SQL techniques.•Utilized SQL for database querying and data manipulation to support analytics projects.•Collaborated with business stakeholders to identify data needs and optimize data collection processes.•Partnered with analytics teams to troubleshoot complex issues, optimize data transformation, and ensure seamless data migration across systems, adhering to strict data governance and quality standards.