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Data Science & Analyst - Analyzed trillion-token datasets (RefinedWeb, CommonCrawl) using Apache Spark (PySpark) and SQL to assess brand representation and bias. - Delivered actionable insights, statistical analysis, and visualizations using Python by designing analytical tables aligned with business goals; presented findings to cross-functional teams, including Data Analysts, - Data Scientists, Analysts, and Researchers. - Optimized large-scale data workflows using DuckDB for in-memory processing and managed cloud compute and storage resources. - Built scalable data pipelines on Google Cloud Platform (GCP), leveraging Google Cloud Storage for efficient data processing. - Applied Advanced NLP techniques (Tokenization, sentiment analysis, POS Tagging) to categorize brand content and keywords - Evaluated open-source LLM outputs (ChatGPT-4.5, LLaMA 3.3) to enhance brand visibility in AI search, fine-tuning and identify model bias.

- Personalized and streamlined app layout: Spearheaded the first launch of a customized layout using AI tools to create a seamless user journey in Thailand that increased buyer engagement by 20% of the overall platform, significantly enhancing the overall user experience. - Regularly presented progress to senior management, ensuring alignment and support throughout the project lifecycle, successfully transforming the trial project into a core long-term initiative for the company. - Developed dashboards and visualizations by preprocessing large datasets of month-over-month and year-over-year orders and revenue to uncover market opportunities and optimize pricing strategies. - Automated data dashboards, enabling a 15% improvement in report lead time. Assisted the assistant manager in initiating growth-focused projects and managed an end-to-end reporting project, encompassing data extraction, cleaning, analysis, and report creation, contributing to a 10% revenue increase across offline and online channels. - Predicted stock levels, reducing inventory costs by 8% through accurate demand forecasting. - Performed in-depth research and analysis of competitor activities, market trends, and industry insights to inform and support strategic business decisions. Facilitated communication between users and technical teams to ensure system alignment with business objectives. - Analyzed and monitored social media performance, providing customer segmentation insights. - Customer Analysis (CRM): Formulated and implemented data-driven strategies using statistical analysis to acquire new users, adding over 7,000 daily new buyers, and converting orders from churned users, leading to a 30% uplift in orders. Conducted product A/B testing on strategic marketing initiatives, reducing fraud by over 50% by detecting duplicate benefit claims from users.

- Forecasted demand and sales trends, driving a 15% increase in monthly sales for the top 60 products and optimizing overall performance. - Acted as Assistant Manager, leading 10+ employees, enhancing productivity through collaborative tools and proactive workflow improvements. - Demonstrated problem-solving skills by optimizing inventory management strategies and addressing POS system inefficiencies, resolving cash-handling issues, and reducing shrinkage, resulting in a 0.2% out-of-stock rate and a 10% reduction in excess inventory within one month. - Optimized store costs by managing labor hours, maintaining target sales per hour, and controlling logistics and transfer expenses. - Leveraged customer data to identify patterns and trends, driving an increase in customer satisfaction scores and exceeding the company's average benchmarks by effectively addressing daily operations and unexpected challenges.