Results-driven Business Intelligence Analyst recognized for maximizing productivity and efficiency in delivering data-driven insights. Expertise in data warehousing, predictive analytics, and visualization techniques enhances decision-making processes. Proven skills in critical thinking, problem-solving, and effective communication facilitate clarity in complex scenarios. Aiming to leverage analytical acumen to drive strategic growth within a forward-thinking organization.
Sentiment Analysis on Product Launch - Company Project, June 2024
Utilized Python to conduct sentiment analysis on 10,000 reviews across six geographies
Performed data cleaning and text analysis to identify major product complaints
Applied regression and machine learning techniques to develop a final model achieving 91% accuracy and a 35% lift
Team Efficiency Analysis – Company Project, January 2024
Utilized Structured Query Language (SQL) to extract data from eight related tables in Employee databases using JOIN and VIEW techniques
Transformed and filtered data using aggregation and filtering functions to enhance the reporting process
Utilized Python to load and visualize data, identifying key business insights to enhance team performance