whillz

Engineered a high-performing loan prediction model with 94% accuracy, effectively assessing borrowers' repayment probability. Leveraged Scikit-learn and advanced tree-based algorithms, including Random Forest and Decision Trees, to optimize predictive performance. Executed comprehensive data preprocessing, feature engineering, and hyperparameter tuning to maximize model efficiency. Delivered actionable insights to enhance risk management strategies and streamline decision-making processes. Demonstrated expertise in machine learning pipelines, predictive analytics, and financial modeling.

Analysed social media performance metrics to inform content strategy and optimize engagement. Developed and maintained dashboards to track key performance indicators (KPIs) for campaigns. Conducted audience segmentation and trend analysis to enhance targeting and ROI. Created data-driven reports to support marketing strategies and decision-making. Leveraged tools like Python, SQL, and Excel to automate data collection and streamline reporting. Collaborated with cross-functional teams to align social media strategies with business goals. Identified growth opportunities by interpreting complex datasets and monitoring market trends. Designed and executed A/B testing to evaluate campaign effectiveness and refine strategies.