Russel Lopez

Detail-oriented and results-driven professional with a strong foundation in financial analysis, process optimisation, and customer experience strategy. Proven track record of improving operational efficiency, enhancing reporting accuracy, and driving measurable business impact across finance and tech environments. Skilled in interpreting customer sentiment data, resolving complex product issues, and collaborating cross-functionally to deliver insights that shape service and product improvements. Adept at using ERP systems, financial reconciliation tools, and digital platforms to streamline workflows and support data-informed decision-making. Now seeking to leverage this diverse expertise in a financial analyst role focused on delivering clarity, value, and strategic growth.

• Applied CRISP-DM framework to build predictive models with 72% accuracy; leveraged ggplot2, plotly, and heatmaps for effective data visualisation and statistical analysis.
• Conducted text mining using Python and Twitter API; identified Gradient Boosting Regression as top-performing model (67.78% variance explained) and visualised sentiment trends via word clouds.
• Built regression models to forecast house sale prices with 86% accuracy, strengthening domain expertise in real estate valuation.
• Designed clean, relational datasets in MS Access (MySQL) using primary key joins to support robust analytical workflows.