Projects
A timeline of ML and data engineering work across retail, logistics, and operations.
Centralized monitoring for 15 models and 400+ pipelines with statistical process control drift detection.
Terraform, Lambda, MLflow, Prometheus, Snowflake
Hierarchical item clustering and supplier price comparison via drag-in document search.
OpenAI Embeddings, FAISS, Streamlit
1.3M customer service conversations per year — PII masked, summarized, classified, and auto-filed in CRM.
AWS Bedrock, Lambda, SageMaker, MLflow
Predicts campaign uplift before launch using historical experiment data to replace intuition-based targeting.
Python, Polars, Snowflake, Scikit-learn
Single XGBoost model deployed to 5 countries with different data warehouses and marketing systems via S3.
SageMaker, Snowflake, S3, XGBoost, GitLab CI/CD
NLP mapping of public commodity indices to supplier cost structures for procurement negotiation verification.
Python, NLP, Snowflake, Commodities APIs