• Built a Python-based tool integrating Natural Language Processing (NLP) models for text analysis, achieving accuracy in text similarity assessments using Scikit-Learn.• Developed an interactive HTML and CSS GUI for real-time data interaction, enabling user data storage and local analysis.• Performed data preprocessing and transformation of 2,000+ entries using Pandas, enhancing data consistency and accessibility.• Applied graph theory metrics using Python's NetworkX library to identify critical relationships within data matrices.• Leveraged Agile methodologies to optimize project workflows, increasing data processing efficiency through iterative feedback.• Generated a training dataset for an AI model by extracting keywords from academic sources, reaching 70% accuracy in generated content

• Conducted data validation and standardization using Python (Pandas), improving data quality across a dataset of 1,000+ records.• Automated data migration processes from Excel to a specialized database system, reducing manual handling time by 30%.• Performed data enrichment by integrating information from international sources, enhancing the comprehensiveness of the dataset.• Utilized SQL to query and extract data insights, ensuring accuracy and consistency in project reports.• Created Power BI visualizations for exhibition planning, providing data-driven insights that increased planning efficiency.

• Produced data-driven reports using Excel to monitor and summarize marketing campaign performance, improving strategic decisions.• Utilized SQL for data extraction and manipulation, optimizing audience targeting and increasing engagement by 15%.• Conducted sentiment analysis on consumer feedback with Python (NLTK), leading to actionable insights that improved customer satisfaction by 10%.• Executed predictive analytics through A/B testing, resulting in a 12% increase in conversion rates by adjusting campaign elements.• Coordinated with design teams to integrate business intelligence insights, enhancing marketing effectiveness and increasing ad performance.

• Assisted Stage Manager and Director with organizing and orchestrating production of Opera La Traviata, proactively implementing rehearsal and coaching schedules to deliver exceptional performance• Collaborated with cross-functional teams across departments, ensuring consistent correspondence by establishing communication channels to fulfill production deadline• Designed project's marketing brochure, performing rigorous editorial process to ensure accuracy prior to publication• Fulfilled various administrative duties including coordinating accommodations and meals for actors, scheduling drivers and arranging rehearsal rooms to streamline management operations