👋 Hi, I’m Lakshmi Venkatasubramanian

Data Scientist @ Amazon | Ex-Intuit | Full-Stack ML Engineer | Forecasting, LLMs and Advanced Analytics

I’m a full-stack Data Scientist with a deep passion for solving high-impact business problems through machine learning, experimentation, and analytics. Currently at Amazon, I specialize in designing forecasting and pricing optimization frameworks that guide multi-billion-dollar product strategies. From conjoint analysis and willingness-to-pay modeling to time series forecasting and inferential analysis, my work helps launch and grow Amazon Devices in a data-driven way.

Previously, I’ve built and deployed end-to-end ML solutions across companies like Intuit, Meta, Tesla, and Microsoft—driving efficiencies through AutoML platforms, real-time inference APIs, and big data pipelines using tools like Spark, Kubeflow, and Docker.

🔍 Areas of Focus:

• Time Series Forecasting (SARIMAX, Prophet, LSTM)
• Product Pricing & Conjoint Analysis
• AutoML & Scalable ML Deployment (Databricks, H2O, Kubeflow)
• Behavioral and Market Analytics at scale (Spark, SQL, AWS)
• Experiment Design, A/B Testing, and Causal Inference

💡 I love exploring innovations in Deep Learning, LLMs, and NLP, and building intelligent systems that scale.

🎓 MS in Data Science – University of Washington
📍 Based in Seattle | Open to collaboration, mentoring, and innovation

👉 Check out my Projects, GitHub, or LinkedIn.