Gracia Tidatoa

Developed a web scraping and data extraction system to analyze customer review data, uncovering insights that contributed to British Airways' operational success. Built a predictive model to analyze factors influencing customer buying behavior, improving decision-making in marketing strategies. Applied advanced analytics to enhance the accuracy of forecasts and business outcomes, contributing to strategic growth initiatives.

Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills. Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation. Completed the engineering and optimization of a random forest model, achieving a 99% accuracy rate in predicting customer churn. Conceived a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis.

Collaborated with Isahit, an ethical data labeling platform specializing in AI and data processing, to streamline and enhance the data annotation process for machine learning models. Coordinated with a global team of data annotators to manage and validate data quality, employing rigorous quality control measures. Contributed to the development of best practices and guidelines for ethical data handling and annotation.

Spearheaded the development of TRS Tech's official website. Designed and developed custom scripts for ETL processes. Designed and implemented comprehensive database architectures. Implemented a software application for Linux that interfaces with Whois search services.