Detail-oriented Data Analyst with a B.Sc. (Hons.) in Demography and Social Statistics and practical experience in data cleaning, analysis, statistical interpretation, and visualization. Proficient in Microsoft Excel, Pow…
Detail-oriented Data Analyst with a B.Sc. (Hons.) in Demography and Social Statistics and practical experience in data cleaning, analysis, statistical interpretation, and visualization. Proficient in Microsoft Excel, Power BI, and SPSS, with experience analyzing sales, customer behavior, product performance, and demographic data. Skilled in transforming raw datasets into meaningful insights through dashboards, performance reports, and statistical analysis to support evidence-based decision-making. Knowledgeable in survey design, quantitative research methods, and report writing, with a strong interest in applying data analytics to business intelligence, social research, and public health. Available for remote Data Analyst opportunities.
<p>Analyzed coffee shop sales data to evaluate revenue performance, product demand, transaction activity, and customer purchasing patterns.<br>
Monthly revenue trends and sales performance.<br>
Revenue distribution by store location.<br>
Top five products by revenue and revenue contribution by product category.<br>
Transaction volume, items sold, and average order value.<br>
Consolidated sales data into performance insights to support the evaluation of product demand, store performance, and revenue trends.</p>
<p>Analyzed bakery sales data to assess daily revenue trends, product performance, transaction activity, and purchasing behavior across customer types and payment methods.<br>
Daily revenue trends and total revenue by product.<br>
Quantity sold by product.<br>
Revenue distribution by customer type and payment method.<br>
Transaction volume and average order value.<br>
Examined product-level sales and transaction patterns to provide a clearer understanding of revenue contribution and customer purchasing behavior.</p>
<p>Analyzed smartphone sales data to identify brand and model performance, customer preferences, regional sales patterns, and revenue distribution.<br>
Brand and model performance, units sold, total revenue, and average selling price.<br>
Customer distribution and storage preferences.<br>
Sales performance by country and city.<br>
OnePlus emerged as a leading brand and model in the analysis.<br>
India and Turkey recorded strong customer and unit-sales performance, while Bursa was a leading city in units sold, revenue, and customer count.<br>
Summarized mobile sales performance, highlighting leading brands, customer preferences, and geographical sales patterns to support data-driven business decisions.</p>
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