AI & Data Science Intern

Candidate Description

A versatile Data Engineer and emerging AI practitioner with five years of experience designing and optimising data platforms across consulting, manufacturing, and healthcare settings. Adept at architecting cloud-native solutions on Azure and AWS, they bring deep expertise in a Data Platform, a Data Warehouse, and a Data Processing Framework while driving analytics initiatives that span ETL development, data warehousing, and real-time visualisation. Their academic foundation in Data Science complements a proven ability to translate complex data challenges into actionable business value.

Demonstrating strong technical acumen, this professional has delivered enterprise-grade pipelines at a Professional Services Firm, orchestrating Python- and SQL-based workloads that processed up to 100 million records and embedding CI/CD with a Version Control System for reliable release cycles. They have integrated sophisticated governance controls (Delta Sharing, RBAC), applied dimensional modelling for BI readiness, and leveraged tools such as a Workflow Orchestration Tool, a Messaging System, and a Data Streaming Service to ensure scalable, fault-tolerant architectures. Project highlights include deploying RAG-based LLM solutions within a Healthcare Company's Wellness Platform and delivering climate-change forecasting dashboards on the Data Platform for stakeholders.

Known for collaborative leadership and a proactive mindset, they mentor junior team members, engage seamlessly with cross-functional stakeholders, and adapt quickly to new domains ranging from Industry 4.0 manufacturing processes at a Manufacturing Company to government climate data initiatives. Their combination of cloud expertise, machine-learning integration skills, and commitment to continuous improvement positions them as a high-value contributor capable of driving data-driven transformation for organisations across industries.