I am a dedicated data analyst with a proven track record at TRIMEDX, where I've played a pivotal role in optimizing operational efficiency and driving significant cost savings. Leveraging my expertise in Python, SQL Snowflake, Microsoft Fabric, and collaborative problem-solving, I've spearheaded impactful initiatives that have transformed the way we approach data-driven decision-making.Key Achievements:📈 Cost Forecasting: Engineered and deployed a Python-based Vector Autoregression model to forecast servicing costs for TRIMEDX's top 1000 equipment models. This initiative identifies millions in annual savings and alerts users of devices trending in the wrong direction.💡 Innovative NLP Solutions: Implemented Natural Language Processing algorithms in Python to compile a selectable list of most used phrases in work order notes. This innovative approach led to over $1.1 million in labor savings per year by streamlining documentation processes.⚡ Clustering for Efficiency: Developed a Python-based staffing optimization model for customer acquisitions, leveraging clustering algorithms to segment customer sites into efficient geographic zones. Implemented travel network optimization to determine optimal hiring locations. Saves hours of planning for customer acquisitions team. 🔄 A/B Testing for Improved Maintenance: Developed a modular A/B testing tool in Python to compare medical equipment performance under contrasting maintenance schedules and hospital environments. The tool has proven instrumental in justifying positive changes in equipment care while preventing unnecessary changes at numerous hospitals.🚀 Collaborative Team Empowerment: Created a Python package for team-wide module sharing, ensuring consistent integration and updates across projects. This collaborative effort has enhanced team efficiency and fostered a culture of knowledge sharing.📊 Strategic Data Visualization: Collaborated with stakeholders to design interactive Power BI Dashboards, including a comprehensive ROI assessment for medical device training courses. This not only improved the efficiency of the training budget but also increased technician satisfaction across the business.⚙️ Optimized Maintenance Standards: Utilized SQL Snowflake scripts to calculate and establish routine maintenance time standards for 70,000 distinct medical devices, working closely with subject matter experts to verify results.I am passionate about leveraging data to drive operational excellence, and I am excited to bring my skills and experience to new challenges. Let's connect!