AL/ ML Analyst

AI Product Development: Design and build advanced AI solutions, specifically focusing on Conversational Voice Chatbots, Multilingual NLP, and Speech Recognition systems. Applied Research: Lead 4-8 applied AI/ML projects from conception to deployment, utilizing Artificial Neural Networks (ANN), Deep Learning, and Conceptual Modelling. Marketing Analytics: Apply quantitative methods to analyze consumer behaviour, drive marketing strategies, and build predictive models to optimize business outcomes. Data Strategy: oversee data engineering tasks using MS SQL, MySQL, or Oracle to ensure robust data pipelines for modelling. Stakeholder Communication: Visualize complex data insights using modern visualization tools and present findings to business leadership.

Core AI/ML: Expert-level knowledge in Natural Language Processing (NLP), Machine Learning, Statistical Analysis, Hypothesis Testing, and Predictive Modelling. Deep Learning: Hands-on experience with ANN and deep learning architectures. Data Engineering: Strong proficiency with relational databases (MS SQL, MySQL, Oracle). Cloud & Tools: Exposure to cloud analytics libraries and data visualization tools (e.g., Tableau, PowerBI, or Python-based libraries).