Automated NoSQL-to-SQL data migration via custom scripts, optimizing project delivery timelines by identifying workflow bottlenecks. Built scalable data pipelines processing 10M+ records daily, implementing real-time monitoring dashboards that reduced project delays by 25% through early bottleneck identification.

Created machine learning models for CAN network intrusion detection with 95% accuracy through architecture research. Implemented deep learning algorithms using TensorFlow and PyTorch, contributing to a patent-pending security framework that enhanced vehicle network protection against cyber threats.

Designed standardized pricing SOPs and executive dashboards, driving 5% revenue growth through actionable cost analysis. Collaborated with C-suite executives to streamline financial workflows, implementing automated reporting systems that saved 15+ hours weekly in manual data compilation.

Architected cloud-based system for fine-tuning OpenAI LLMs on e-commerce reviews, enabling scalable sentiment analysis. Developed microservices architecture handling 100K+ daily API requests, implementing caching strategies that improved response times by 60% while reducing infrastructure costs.

Applied unsupervised learning to CRM data, improving targeting accuracy by 30% through cluster analysis. Implemented K-means and hierarchical clustering algorithms on customer datasets of 50K+ records, creating actionable segments that increased marketing campaign effectiveness and customer retention rates.

Created interactive Tableau dashboards revealing $50K+ in potential margin improvements across product lines. Performed comprehensive data analysis on sales patterns, inventory turnover, and customer behavior, delivering insights that informed strategic pricing decisions and inventory optimization.