DataAngel
@DataAngel_io
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Data Analytics | Data Science | Business Intelligence | ML | SQL
Dubai, United Arab Emirates
Joined May 2025
Are you using it yet?. #PowerApps #MicrosoftPowerPlatform #LowCode #Automation #DigitalTransformation.
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🚀 Low-Code. High Impact. With Microsoft Power Apps, you can:.⚡ Build custom apps in days, not months.🔗 Connect to Dataverse, SharePoint, Excel, SQL.🤖 Automate processes & cut bottlenecks.💡 Empower teams, no coding needed.The future of efficiency is low-code + adoption.
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RT @afolinconnaire: Power BI DAX Tips!!!!!. 💡 A dynamic email generator in Power BI using DAX, and it pulls live data straight from related….
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💡Want to track monthly sales growth in SQL?. This query:.📅 Groups by month.📈 Calculates running total sales.📊 Tracks running avg. price using window functions.A clean way to spot trends & momentum over time!.#SQL #DataAnalytics #WindowFunctions #DataViz #BusinessIntelligence
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I am proud to share my latest Power BI dashboard!!!.
📊 Just wrapped up a Power BI project analyzing $29M+ in retail sales!. 🧠 Key insights:. 50+ age group = 66% of revenue. Road & Mountain Bikes = 80% of sales. New customers = top revenue drivers. Built with SQL + DAX in Power BI. #PowerBI #SQL #DataAnalytics #CustomerInsights
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I am proud to share my latest Power BI dashboard!!!.
📊 Just wrapped up a Power BI project analyzing $29M+ in retail sales!. 🧠 Key insights:. 50+ age group = 66% of revenue. Road & Mountain Bikes = 80% of sales. New customers = top revenue drivers. Built with SQL + DAX in Power BI. #PowerBI #SQL #DataAnalytics #CustomerInsights
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Full project documentation on github .://github.com/Linconnaire/Retails-Products-Sales-Customer-Retention-Analysis-PowerBI-.
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📊 Just wrapped up a Power BI project analyzing $29M+ in retail sales!. 🧠 Key insights:. 50+ age group = 66% of revenue. Road & Mountain Bikes = 80% of sales. New customers = top revenue drivers. Built with SQL + DAX in Power BI. #PowerBI #SQL #DataAnalytics #CustomerInsights
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Uncovering Insights with SQL & Power BI: Bike Store Analytics 🚴♂️📊.
🚴♂️ Just turned bike store sales data into a story worth riding through!. 🔍 With SQL + Power BI, I uncovered:.📈 Top-selling products.🧠 Surprising customer behaviors.💰 Hidden profit drivers.Who knew data could yield this much insight?.🔗 Dive in: #SQL.
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Uncovering Insights with SQL & Power BI: Bike Store Analytics 🚴♂️📊.
🚴♂️ Just turned bike store sales data into a story worth riding through!. 🔍 With SQL + Power BI, I uncovered:.📈 Top-selling products.🧠 Surprising customer behaviors.💰 Hidden profit drivers.Who knew data could yield this much insight?.🔗 Dive in: #SQL.
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RT @DataAngel_io: 🚴♂️ Just turned bike store sales data into a story worth riding through!. 🔍 With SQL + Power BI, I uncovered:.📈 Top-sell….
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🚴♂️ Just turned bike store sales data into a story worth riding through!. 🔍 With SQL + Power BI, I uncovered:.📈 Top-selling products.🧠 Surprising customer behaviors.💰 Hidden profit drivers.Who knew data could yield this much insight?.🔗 Dive in: #SQL.
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SQL Tips!!!.
🧠 SQL Snippet of the Week. 🔍 CTEs vs Subqueries. Which is better — and when?. What’s a Subquery?. A subquery is a query nested inside another query. Read more below.#DataAnalytics #SQL #CTE #SubqueriesCheck
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RT @afolinconnaire: 🚀 I am excited to share my latest Power BI project analyzing Dubai Property Sales (2018-2024). 🔹 746K Transactions | 3T….
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🧠 SQL Snippet of the Week. 🔍 CTEs vs Subqueries. Which is better — and when?. What’s a Subquery?. A subquery is a query nested inside another query. Read more below.#DataAnalytics #SQL #CTE #SubqueriesCheck
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🔍 CTEs vs Subqueries Which is better — and when? What’s a Subquery? A subquery is a query nested inside another query. 📍Used when you want a quick inline result.
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