Gather and document business requirements ▪ Translate requirements into technical specifications ▪ Develop business use cases and cost-benefit analyses ▪ Support the implementation and testing phases

Collect, organize, and analyse large sets of data ▪ Develop and implement data models ▪ Manage RDBMS / DDL / DML ▪ Collaborate with cross-functional teams to understand requirements

Create analytics dashboard and reports ▪ BI Data modelling ▪ Data Transformation and data wrangling ▪ Cross-Functional Collaboration

Data Pipeline Development ▪ Data Integration & Data Storage ▪ ETL (Extract, Transform & Load) ▪ Data Cleaning and Pre-processing ▪ Database architecture creation

Develop predictive and machine learning models ▪ Explore and analyse large datasets ▪ Extract valuable insights from data ▪ Provide Statistical Inference

Develop and implement AI models and algorithms ▪ Apply machine learning and deep learning pre-process ▪ Analyse data for AI model training ▪ Optimize AI models for performance and efficiency