Orchestrated the creation and implementation of a dynamic PL/SQL package tailored to automate the assessment of a sizable platform. This implementation pinpointed malfunctioning pages rooted in outdated data, yielding a 30% cutback in unnecessary storage data.Improved manufacturing floor reporting processes by fabricating a C# (ASP.NET) backend solution, leading to a 40% reduction in reporting times and heightened operational agility for the Body Shop organization.Developed a frontend solution using JavaScript (KnockoutJS, Bootstrap, jQuery) to automate chart generation, visually representing car section point colors.

Designed and built a web application focused on seamless tracking of carbon credit product lifecycle, spanning from forest sourcing to processing mill and final product delivery. This solution aimed to increase transparency and accountability across the supply chain.Collaborated with local lumber mills/companies and landowners to implement product, enabling up to 15% alleviation in carbon emissions and significant cost savings of approximately 20%.Crafted a polished front-end with React and Google's Material Design for a seamless, responsive user experience, complemented by a robust REST API backend powered by Django REST Framework, ensuring scalability and efficiency

Implemented a cutting-edge application with ASP.NET Core, HTML, CSS, and JavaScript (jQuery) to streamline reporting on vehicle part dimensional tolerances, revolutionizing operations by automating the analysis of 1.2 million daily data points previously handled manually.Improved data loading processes, cutting data retrieval time by 99.9%, leading to significant efficiency gains.Transformed team dynamics by leading extensive Git & Bitbucket training sessions, elevating the team's utilization from simple storage to proficient version control. Through hands-on guidance and the adoption of best practices in my coding, I cultivated a culture of efficient collaboration and code management within the development team

Implemented the Triple Exponential Smoothing algorithm within Verint's Intelligent Forecasting framework, leveraging Python with Statsmodels and Scikit-learn. By enhancing the Holt-Winters algorithm, achieved a 47% performance boost over previous methods/algorithms, establishing it as a leading contender in time series analysis.

Assisted Lab Director and Faculty of the Department of Languages with administrative duties and technical support