
Results-driven data engineer with experience at Cognizant Technology Solutions, specializing in ETL processes and data pipeline optimization using Snowflake and Python. Achieved a 15% increase in process efficiency through collaboration and innovative solutions. Proficient in data modeling and committed to delivering high-quality insights for informed decision-making. Insightful Analyst known for high productivity and efficient task completion. Possess specialized skills in data interpretation, statistical analysis, and predictive modeling which enhance problem-solving capabilities. Excel in communication, teamwork, and adaptability, ensuring seamless collaboration and innovative solutions in dynamic environments.
Fall 2023 Port Authority Project - Winner, Port Authority of NJIT, 09/23, Led a team of 4 in a project that involved analyzing large datasets to solve a real-world business problem., Ranked as the top-performing team among four groups, based on independent evaluations by the Port Authority., Developed and optimized ETL pipelines, leveraging Snowflake for data warehousing and Python for automation., Presented findings and recommendations to senior stakeholders at Port Authority, which were well-received for their clarity and actionable insights. FleetCor - Cross-Sell & Non-Cross-Sell Account Analytics Project, Analyze customer behavior, financial performance, and risk to understand attrition patterns, measure the financial impact of credit treatments, and forecast future trends for both cross-sell and non-cross-sell accounts.