Senior Consultant - Data Science

Celebal Technologies|2025 – Present

London, United Kingdom

Key Contributions5

• Leading Celebal Technologies' Data & AI practice across UK and EU, partnering with 3 enterprise clients in EMEA and the US across oil & gas and financial services to deliver high-impact AI initiatives.
• Embedded as a Resident Solution Architect within Databricks Professional Services, collaborating with Solution Architects and Account Executives to architect and deploy scalable GenAI, ML, and MLOps solutions using Mosaic AI Agent Framework, Vector Search, Model Serving, and Unity Catalog.
• Architected and delivered enterprise RAG and agentic AI solutions that generated multi-million dollar business value, accelerating clients' transition from experimentation to production-grade AI systems.

Consultant - Data Science

Celebal Technologies|2023 – 2025

Jaipur, Rajasthan

Key Contributions5

• Joined Databricks Consultancy Services (DCS) as a partner resource, delivering end-to-end ML, MLOps, and Generative AI solutions for enterprise clients in pharmaceutical and oil & gas sectors.
• Built and deployed 10+ production ML models processing millions of data rows using PySpark on Databricks, serving business users with real-time and batch inference pipelines.
• Led ML workload migrations to Databricks Lakehouse, re-platforming pipelines, model registries, and serving endpoints to improve scalability and reduce operational overhead.

Associate Consultant - Data Science

Celebal Technologies|2021 – 2023

Jaipur, Rajasthan

Key Contributions5

• Managed and mentored a team of 8 Data Science professionals, delivering solutions for multiple clients across diverse industries from proposal through production deployment.
• Improved predictive model accuracy by 16% by integrating XGBoost and ensemble learning techniques, directly enhancing forecast reliability for client decision-making.
• Processed millions of data points for a major non-profit client using distributed Spark clusters and a custom-built data processing framework, enabling large-scale analytics previously infeasible.