Data Science Consultant
Current• Successfully managed and analysed a dataset of over four million rows, integrating transaction history and customer behaviour data to develop a predictive model for ad click-through rates.• Improved model accuracy significantly by implementing advanced techniques such as feature scaling, random oversampling, and hyper-parameter tuning, resulting in an outstanding 89% recall score.• Comprehended business requirements in a BI context and developed data models to convert raw data into actional insights.• Collaborated with cross-functional teams to define business objectives and derived relevant KPIs that led to improved operational efficiency.• Created interactive and highly informative Power BI reports using DAX features.• Responsible for performing data analytics and generating insights as per business requirements.• Contributed to the design and maintenance of the Database Management System (DBMS), actively participating in data modeling, extraction, cleansing, aggregation, transformation, and validation processes.• Conducted end-to-end data profiling within the Snowflake platform to assess data quality, structure, and integrity.• Utilized advanced SQL queries to analyze data patterns, anomalies, and potential issues to ensure a robust downstream process.• Enhancing and adding visualisations for customer segmentation, retention, and churn to provide more insights on overall performance.