Adlina

Completed a job simulation on Retail Analytics and Commercial Insights for the data science team.
Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.
Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making.
Leveraged acquired data analytics and insights to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.

Conducted a thorough Ad Hoc Data Analysis initiative, addressing diverse business queries to extract key insights for informed decision-making.
Applied analytical techniques, encompassing market analysis, product count evaluation, unique product segmentation, and manufacturing cost assessment.
Unveiled crucial insights into customer discount profiles, gross sales trend analysis, and quarterly sales fluctuations, providing actionable information for optimizing pricing and sales strategies.
Effectively communicated findings through clear and visually compelling reports, contributing to a comprehensive understanding of sales dynamics, channel effectiveness, and product performance.

Implemented a comprehensive Power BI project focused on analysing Parental Leave Policies.
Developed a visually captivating report featuring key performance indicators, comparative metrics, and detailed drilldowns for both maternity and paternity leaves.
Highlighted ability in Power BI, data analysis, and visualization techniques.

Conducted a two-decade US Power Outage data project, employing Excel and Power BI for robust data cleaning, modelling, and visualization offering actionable insights into outage patterns and regional impacts.
The comprehensive analysis displayed expertise in managing uncleaned data and delivering meaningful visualizations for strategic insights.