Skills
• Text Data Handling: Annotation, sentiment analysis, feedback structuring
• Content Writing & Editing: Grammar-focused, audience-adaptable, guideline-compliant writing
• Data Tools & Languages: Python (Pandas, NumPy, Scikit-learn), Power BI, Excel, Tableau
• Analysis & Quality Review: Exploratory Data Analysis, KPI Reporting, high-detail audit support
• Professional Traits: Judgement in ambiguity, communication, adaptability, structured problem-solving
About
Detail-oriented data professional with experience in linguistic data handling, sentiment analysis, and structured content development. Skilled at generating high-quality insights from large volumes of feedback and text data. Comfortable adapting to new tools, solving ambiguous problems, and delivering consistent, high-standard output.
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