As a Senior Manager Data Science at Access Retail, I lead a team of statisticians who design, implement, and analyze retail audit samples and panels for various sectors, such as tobacco, beverage, and FMCG. I leverage my skills in SQL, Power BI, Python, machine learning, and predictive modeling to deliver insights and solutions that help our clients understand and optimize their market performance and strategies. With over eight years of experience in research design and data analysis in the marketing research industry, I have worked on both sample and full scan retail census projects, and interacted with local and international clients on research issues and recommendations. I am also a trainer on statistical tools and quantitative research techniques, and I enjoy sharing my knowledge and passion for data science with others. My mission is to use data to drive innovation and growth in the retail sector.