•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.

• Conducted thorough system testing to ensure high-quality assurance and system functionality.• Managed system integration projects, ensuring seamless data flow and integration with existing systems.• Implemented and monitored processes to ensure data integrity across all IT systems.• Collaborated with cross-functional teams to optimize system performance and resolve technical issues.

• Data Collection & Entry: Gathered extensive data from community members through surveys and interviews to assess their needs and socioeconomic conditions.• Data Analysis & Organization: Utilized Microsoft Excel to organize and analyze the collected data, identifying key insights and trends to inform decision-making processes.• Report Development: Created comprehensive reports that highlighted families in need of assistance, ensuring efficient and effective allocation of resources.• Data Verification & Validation: Conducted thorough data verification and validation processes to maintain data accuracy and reliability, minimizing errors and ensuring high-quality data for analysis.• Cross-Departmental Collaboration: Worked closely with other departments and stakeholders to address the identified needs, ensuring that support was provided in a timely and targeted manner to the community.