Data Engineering & Pipelines

Design and build data pipelines, workflows and data processing systems that prepare data for analysis and ML applications. Experience in building data pipelines for campaign analytics, customer data and prospect information that support analytics and decision-making.

MLOps & Deep Learning

Implement machine learning operations, model training workflows and deep learning architectures that enable scalable ML systems. Completed ML and AI Engineering diploma focusing on model development, evaluation and deployment best practices.

Chatbot & RAG Development

Develop conversational AI systems, retrieval-augmented generation (RAG) solutions and intelligent chatbots that automate customer interactions. Implemented WhatsApp chatbot at Academy of Digital Arts for student inquiries and lead qualification.

Natural Language Processing

Apply NLP techniques for text analysis, sentiment analysis and language understanding. Experience with NLP for campaign strategy generation, content analysis and audience segmentation based on textual data and behaviour.

Data Analysis & Statistical Modeling

Conduct data analysis, statistical testing and predictive modelling that inform business decisions and strategy. Analyse campaign performance, customer behaviour and market trends to identify insights and optimisation opportunities.

Agentic Orchestration

Design and build agentic systems that coordinate multiple AI models, data sources and tools to accomplish complex tasks for real-time workflows and multi-step reasoning.

Model Evaluation & Optimization

Evaluate model performance, identify improvement opportunities and optimise models for accuracy, efficiency and production deployment. Experience evaluating campaign strategy models, chatbot performance and data quality to improve outcomes.