Spearheaded the collection, analysis, and interpretation of complex datasets from various sources, identifying key trends, patterns, and insights that informed strategic decisionsand drove business improvement. Designed and implemented advanced databases and data collection systems, optimizing statistical efficiency and quality. Enhanced data analytics frameworks, leveraging SQL and server-side scripting languages like Python, to streamline data processing and analysis. Implemented rigorous data filtering and cleaning processes to ensure data integrity. Regularly reviewed computer reports, printouts, and performance indicators to locate and rectify coding errors, significantly improving data accuracy and reliability.

Collaborated with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects, tasks, and timelines. Executed all aspects of analysis initiatives, including exploratory data analysis, machine learning model development, model evaluation, and benefit estimation. Monitored the performance of models and reported findings to leadership.

Collaborated with key business users to identify requirements and opportunities for improved Sustainability data management and delivery delivered compelling and confident presentations centered on data and its value connection to process and decision-making Developed high-level Sustainability enterprise data model and conceptual views of related datasub-architectures

Front-End Development: Utilized skills in HTML, CSS, and JavaScript to develop and enhance user interfaces that are both intuitive and engaging.Back-End Development: Wrote efficient, scalable Java code to handle server-side logic, along with RESTful APIs to power the applications.Full Stack Integration: Worked closely with cross-functional teams to seamlessly integrate front-end and back-end components, ensuring a cohesive user experience.