& expertise in Data Preprocessing, Feature Engineering, and Model Evaluation. DUTIES: Data Analysis collection and measurement protocols. Feature Engineering – Engineer features and create data pipelines to prepare and clean data for modeling. Work with Data Engineering teams to ensure data availability and quality Collaboration – Collaborate with Business Analysts, Data Engineers, and domain experts to understand and address visualization. Expertise in Data Preprocessing, Feature Engineering, and Model Evaluation. ATTRIBUTES: Strong problem-solving
collection and measurement protocols Feature Engineering: Engineer features and create data pipelines to prepare and clean data for modelling Work with data engineering teams to ensure data availability and quality Collaboration: Collaborate with business analysts, data engineers, and domain experts to understand and address visualization Expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving
processes. You will collaborate closely with various Engineering and other teams to ensure test scenarios are possess a Bachelor's Degree in Computer Science/Engineering or similar discipline with proven experience Qualifications – Bachelor's Degree in Computer Science, Engineering, or related field. Experience/Skills – Proven
Analysis Professional (CBAP), INCOSE Expert Systems Engineering
Professional (ESEP), DEAC Certified Enterprise
minimum of 3-5 years' experience in a Network Engineering & Administration role within a Banking, Audit
content for marketing team
Manage all search engine optimisation, indent frequent search queries and
various sources
Assess tools to expand search engine optimisation (SEO) capabilities, research and tracking
business. Continuously analyse, develop and re-engineer processes to ensure quality outputs and optimal
Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 8-10 years of experience