Building intelligent systems that scale.

Project Leader — Data Scientist

• Trained and integrated Generative AI models: Successfully integrated LLMs using Azure OpenAI, delivering text-based and visual insights from module outputs.
• Led team to secure major US healthcare brands: Managed team deliverables for multiple product enhancements that secured major clients and drove product adoption.
• Developed advanced Marketing Mix Optimization algorithms: Engineered custom algorithms including LODR curve gradients with COBYLA and SLSQP optimization. Delivered 25+ projects establishing these as primary optimization techniques.
• Built dynamic marketing analytics assets: Utilized linear regression, hierarchical modeling, segmentation, and early adopter prediction to enhance HCP targeting for new drug launches.
• Managed 10 projects simultaneously: Delivered concurrent projects (typical load 2-3), reducing execution time by 25% and memory consumption by 63%.
• Performed A/B testing: Designed and executed A/B tests for feature validation, improving product experience and business outcomes.
• Provided internal training: Trained 70+ employees in Python, SQL, marketing mix modeling, and optimization strategies.
• Migrated R to Python: Independently migrated and optimized 6000+ line codebase, improving performance and scalability.
• Created custom greedy algorithm: Improved asset stability and reduced execution time by 72%.