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I’m thrilled to share my very first data analytics project since transitioning from Education into Tech! The 𝗠𝗼𝗺𝗼𝗕𝘂𝘆 𝗦𝗮𝗹𝗲𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 is an interactive Power BI solution built to help an online supermarket track and analyze its sales performance from every angle. This solution helps stakeholders track sales performance, customer behavior, and revenue trends across locations, products, and time periods.
✨ 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗶𝗱 (𝗣𝗼𝘄𝗲𝗿 𝗕𝗜):
1️⃣Cleaned and transformed raw sales data
2️⃣Performed exploratory data analysis
3️⃣Designed an interactive dashboard with slicers (Year, Location, Product)
4️⃣Built DAX measures for key KPIs: 401K Total Sales, 2.21M Revenue, 11K Units Sold, 200.40 Avg Unit Price
5️⃣Visualized insights such as monthly revenue trend, sales by store manager, time-of-day patterns, top products, payment types, and pricing distribution
📊 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀:
1️⃣Peak revenue months: April–June
2️⃣Best-performing time: Morning (38%)
3️⃣Top categories: Monitors, Printers, Tablets, Phones
4️⃣Stores C & D show the strongest consistency
5️⃣High-margin items significantly drive revenue
🚀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗜𝗺𝗽𝗮𝗰𝘁:
✔ Spot trends earlier
✔ Improve inventory planning
✔ Identify market opportunities
✔ Strengthen store oversight
✔ Run targeted marketing campaigns
🛠️ 𝗧𝗼𝗼𝗹𝘀 𝗨𝘀𝗲𝗱:
Power BI (DAX, Modeling), Excel, SQL, Python (Pandas, Matplotlib, Seaborn), Data Visualization & Storytelling
🌱 𝗚𝗿𝗼𝘄𝘁𝗵 𝗝𝗼𝘂𝗿𝗻𝗲𝘆:
Transitioning from education into data analytics has been rewarding. My role as a Data Analyst Intern at Snapnet has strengthened my skills in Power BI, Tableau, Python, SQL, and data modeling. I remain committed to continuous growth and building impactful analytics solutions.
#DataAnalytics #PowerBI #DataAnalysis #DataVisualization #BusinessIntelligence #AnalyticsDashboard #SQL #Python #WomenInTech
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