Santosh Mungle

- Providing range of consulting services to organization to unlock the potential of Large Language Models (LLM).

- Custom GPT model development tailoring to specific needs and objectives of the organization.

- Training and fine-tuning of GPT models to achieve best performance with higher accuracy for the use cases.

- Developing solution architecture to integrate GPT models with existing systems of the company.

- Led the development and deployment of machine learning and statistical models into production for several country’s markets based on business requirements using Python, Spark, PySpark, Databricks, Azure data lake, Azure data factory, Snowflake, MLflow, Terraform, DevOps tools (CI/CD, Kubernetes, Azure Artifactory/Package Management) and Scrum (JIRA, Sprint Planning, Kanban).

- Led data science and data engineering enhancement and support to existing machine learning products in DACH (Germany, Austria, and Switzerland), and Benelux market of Danone covering multiple use cases on propensity modeling, community clustering, Lead scoring etc.

- Led the development and deployment of various machine learning models, AI, and statistical models into production for South East Asia market of Danone covering use cases such as churn, migration, OCR, & consumption.

- Managed the several tasks involving data engineering, BI, GDPR, and compliance such as egression of model results into Power BI systems, Snowflake architecture and schema creations, working on Power BI dashboard with DACH country markets, obfuscation framework for data handling regarding GDPR, developing data ingestion and egression framework w.r.t. GDPR and Compliance.

- Managed stakeholder relationship with countries’ business units in Europe and in Asia on weekly basis on product support, enhancement and bug fix for data science and data engineering team.