Poorna Priyanka Asokan

Results-driven Data Analyst with strong analytical and programming skills dedicated to solving complex problems through data. Proven ability to process and report on data effectively, enhancing business insights and supporting strategic growth initiatives. Eager to leverage expertise in a dynamic environment to contribute to data-driven decision-making.

• Data Analytics Bootcamp – iNeuron, 06/01/24
• Accenture North America Data Analytics and Visualization Job Simulation on Forage, 05/01/24
• Tata Data Visualisation: Empowering Business with Effective Insights Job Simulation on Forage, 08/01/24
• PwC Switzerland Power BI Job Simulation on Forage, 09/01/24

E-commerce Sales Data Analysis

• Analysed sales data using Excel to identify trends in customer behaviour, product performance, and pricing strategies.
• Utilized pivot tables, charts, and formulas to examine customer demographics, purchase history, and marketing campaign performance.
• Conducted customer segmentation based on purchase frequency, recency, and monetary value (RFM analysis) to target high-value segments.
• Identified key sales trends and provided recommendations for product offerings, pricing adjustments, and promotional strategies.
• Delivered actionable insights to optimize marketing efforts and increase revenue, resulting in improved decision-making for sales and customer engagement.

HR Data Analysis

• ·Designed and developed interactive dashboards to track key workforce metrics such as average salary, headcount, and average leave balance using Tableau.
• Analysed HR data to provide insights such as gender distributions, age wise distribution, top earner, headcount overtime.
• Created custom visualization to improve HR decision making and optimise workforce management strategies.

Department Store Analysis- Personal Project

• Created and maintained Power BI dashboards to track and visualize key metrics such as sales performance, customer demographics and financial trends.
• Leveraged DAX functions to build complex measures and calculated columns for deeper business insights.
• Identified sales trends, customer behaviour and inventory dynamics within a department store environment.
• Designed interactive reports with dynamic filtering and drill-down capabilities, enabling user to explore data efficiently showcasing the ability to respond to client requests with well-designed solutions.