anissarizkiana

Collaborated with the Data Science client team to develop a specialized NLP model for menu analysis, enhancing precise taste profiling and enabling targeted menu optimizations. Conducted thorough analysis of regional cuisine preferences using data from online forums, providing actionable insights for expanding culinary businesses. Implemented a multilingual food name translation tool to enhance accuracy in processing diverse culinary datasets and support cross-cultural analysis. Improved conversion rates by meticulously tagging attributes, leading to increased conversions across various platforms and channels. Enhanced search functionality and click-through rates through attribute tagging insights, resulting in improved user engagement and personalized experiences. Consistently met daily targets, processing 250-1,000 rows within datasets of approximately 25,000 entries.

Analyzed and ensured high-quality project listing attributes (photos, descriptions, prices, specifications, locations, facilities, and titles). Rectified project listing attribute issues promptly. Assigned value to each project listing before and after the repair process on Google Sheets. Categorized project listings into three levels: high, medium, and low. Achieved weekly targets of 250 quantity and 10,750 project listing quality points.

Content Planning. Developed content ideas and topics based on trending interests among the audience. Research. Conducted in-depth research from credible sources to ensure accurate and reliable information. Content Creation & Editing. Created and edited visually appealing content using Canva. Community Engagement. Actively engaged with other content creators and answered audience questions, enhancing community interaction. Growth & Engagement. Successfully increased followers from 0 to >200 followers and boosted engagement metrics such as likes, saves, and comments through targeted interaction and relevant content.