• Python-Based Module Development: Spearheaded the development of a Python-based module designed for customer onboarding and EDI transactions. This initiative streamlined the onboarding process, reducing the time required by 25% and significantly enhancing operational efficiency.• Enhanced Customer Satisfaction: Implemented a flexible EDI framework that facilitated the seamless integration of new document standards. This enhancement not only simplified EDI transactions but also improved customer satisfaction by 20%, reflecting the effectiveness of the new system in meeting user needs.• Data Integration System Engineering: Engineered a comprehensive data integration system utilizing Python, Pandas, and NumPy. This system integrated data from various sources, resulting in a 30% reduction in data processing time and a 25% improvement in data accuracy. The optimized workflows contributed to more reliable and efficient business intelligence operations.• Advanced Data Visualization: Utilized Tableau to create detailed visualizations of EDI transaction analytics. These visualizations supported informed decision-making and strategic planning. Additionally, I documented configurations and conducted training sessions, which enhanced user proficiency by 25% and reduced support time by 15%.• Continuous Process Improvement: Dedicated to leveraging analytics to drive business growth. Focused on continuous process improvement and performance optimization, ensuring the delivery of substantial value and fostering a data-driven approach within the organization.

• Automated Dashboard Development: Led the creation of an automated dashboard for the quality team, streamlining regulatory data extraction and delivering automated insights, resulting in a 25% reduction in data extraction time.• Comprehensive Dashboard Design: Designed and presented a comprehensive dashboard that provided a holistic view of acquired datasets, enhancing user understanding through effective visualization and achieving a 20% increase in user satisfaction.• Sales Team Collaboration: Partnered with the sales team to forecast ROI, conducting detailed analysis and correcting data cost errors, improving accuracy by 15%.• Data Pipelining and Integration: Utilized Colab, Tableau, Python, Numpy, and Pandas to implement advanced data pipelining techniques, integrating data from various sources and ensuring precise datasets for business intelligence and analysis, resulting in a 30% reduction in data processing time.• Continuous Improvement: Committed to leveraging analytics to drive business growth by continuously improving processes, optimizing performance, and delivering tangible value to the organization.

• Spearheaded the creation of sales reports and dashboards for the sales team, driving a 20% boost in sales efficiency.• Performed Exploratory Data Analysis (EDA) to gather and assess information from datasets, contributing valuable insights to decision-making processes and resulting in a 15% improvement in decision-making accuracy.• Utilized tools such as Colab, Tableau, Python, Numpy, and Pandas to implement advanced data pipelining techniques, integrating data from various sources and ensuring precise datasets for business intelligence and data analysis.• Achieved a 30% reduction in data processing time, significantly improving the efficiency and accuracy of data handling processes.