Customer Behavior Analysis with Python, SQL & Power BI

Excited to share a data analytics project I recently worked on! 📊 Customer Shopping Behavior Analysis Tools: SQL | Python | Power BI In this project, I analyzed over 3,900 customer transactions using SQL, Python, and Power BI to uncover meaningful business insights and trends. Key contributions: • Performed data cleaning and feature engineering using Python (Pandas) • Designed and queried a PostgreSQL database using SQL • Built interactive dashboards in Power BI for data visualization Key insights: • Subscription customers spend 68% more and demonstrate higher loyalty • Female customers contribute slightly higher revenue • Express shipping users show higher average transaction values. This project enhanced my ability to translate raw data into actionable business insights. 🔗 Project Link: https://lnkd.in/gTmmXjbS #DataAnalytics #SQL #Python #PowerBI #BusinessIntelligence #DataDriven

🚀 End-to-End Customer Shopping Behavior Analysis 🎥 Watch how this interactive dashboard uncovers key customer insights in seconds I worked on a complete data analytics project using Python, SQL, and Power BI to transform raw data into meaningful business insights. 🔍 What I did: • Cleaned and transformed 3,900+ records using Python • Performed SQL analysis in PostgreSQL • Built an interactive Power BI dashboard 📊 Key Insights: • Male customers generate 2x more revenue • 80% of customers are loyal repeat buyers • High-value customers still use discounts • Young Adults contribute the highest revenue 💡 Business Impact: These insights can help businesses improve marketing strategies, optimize discounts, and focus on high-value customer segments. 📌 Tools Used: Python | PostgreSQL | Power BI 🔗 Full Project (Code + SQL + Dashboard): https://lnkd.in/gSmEVwng Would love your feedback! #DataAnalytics #SQL #PowerBI #Python #BusinessAnalytics #DataScience #AnalyticsProject Amlan Mohanty

🚀 End-to-End Data Analytics Project Completed! I recently worked on a data analytics project where I applied the full analytics workflow — from raw data to actionable insights. 🔍 What I did: • Loaded and explored the dataset using Python • Performed Exploratory Data Analysis (EDA) to uncover patterns • Cleaned and prepared data for accurate analysis • Wrote SQL queries in PostgreSQL to extract key insights • Built an interactive dashboard in Power BI • Created a report and presentation to communicate findings 📊 Key Highlights: • Improved data quality through systematic cleaning • Identified important trends and business insights • Designed a user-friendly dashboard for decision-making 🛠️ Tools Used: Python | Pandas | SQL (PostgreSQL) | Power BI | Gamma This project helped me strengthen my skills in data analysis, visualization, and storytelling. 📁 Project Link: https://lnkd.in/gqEJYdSn I’d love to hear your feedback or suggestions! #DataAnalytics #SQL #PowerBI #Python #DataScience #EDA #Learning #Projects

𝐌𝐨𝐬𝐭 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐭𝐬 𝐰𝐚𝐬𝐭𝐞 𝐦𝐨𝐧𝐭𝐡𝐬 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐰𝐫𝐨𝐧𝐠 𝐭𝐨𝐨𝐥𝐬. I did too. Here's the exact 11 tools that actually get you hired in 2026 👇 (Save this — you'll thank yourself later) 𝐈𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐨𝐮𝐭  → Excel Want to level up → Python + SQL Need to impress → Tableau or Power BI The rest? Inside the carousel. 𝐖𝐡𝐢𝐜𝐡 𝐭𝐨𝐨𝐥 𝐚𝐫𝐞 𝐲𝐨𝐮 𝐜𝐮𝐫𝐫𝐞𝐧𝐭𝐥𝐲 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠? 𝐃𝐫𝐨𝐩 𝐢𝐭 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬. 𝐋𝐞𝐭'𝐬 𝐛𝐮𝐢𝐥𝐝 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫 👇 ♻️ Repost this to help someone who's just starting their data journey. Follow Navya sri Kurapati🧑💻 for weekly data, analytics & career content Book a slot :- https://lnkd.in/gfqXGEnq #DataAnalytics #DataScience #Python #SQL #Tableau #PowerBI #Excel #DataAnalyst #LearnDataScience #CareerTips #LinkedInLearning #Analytics2026 #DataTools #TechCareer 

🚀 Excited to share my Data Analytics Project: Customer Shopping Behavior Analysis I analyzed 3,900+ customer transactions to understand spending patterns, customer segments, and product trends. 🔧 Tools Used: Python (Pandas) | SQL | Power BI 📊 What I did: Cleaned and processed raw data using Python Performed SQL analysis to extract business insights Built an interactive Power BI dashboard 💡 Key Insights: Young adults contribute the highest revenue Loyal customers form the largest segment Non-subscribers drive the majority of total sales #DataAnalytics #Python #SQL #PowerBI #DataScience

📊 Excited to share my latest Power BI project – Customer Churn Analysis! Built an interactive dashboard to analyze telecom customer churn patterns and uncover actionable business insights. 🔍 Key Findings: • Month-to-month contract customers churn the most • Electronic check users show higher churn rates • Higher monthly charges are linked with increased churn 🛠️ Tools Used: Power BI, Python, pandas, NumPy This project helped me strengthen my skills in data visualization, business analytics, and storytelling with data. 🎥 Sharing a quick walkthrough of the project dashboard and workflow. #PowerBI #DataAnalytics #CustomerChurn #BusinessIntelligence #DataVisualization #Python #AnalyticsProject #LinkedInProjects #DashboardDesign

I recently worked on a Customer Behavior Dashboard to analyze sales performance, customer trends, and product insights. Tools Used: Excel | Python | SQL | Power BI Key Insights: • A few top product categories contribute to the majority of overall revenue • Customers purchasing discounted items showed higher buying frequency • Certain categories generated high sales but lower profit margins • Revenue trends highlighted peak purchasing periods and seasonal demand What I Did: • Cleaned and transformed raw data using Python & SQL • Built Pivot Tables & Charts in Excel for initial analysis • Created KPIs like Total Sales, Revenue, and Category Performance • Designed an interactive Power BI dashboard with slicers for dynamic filtering • Visualized customer behavior and top-performing products. What I Learned: • End-to-end data analysis workflow (cleaning → analysis → visualization) • How to extract meaningful business insights from raw datasets • Building interactive dashboards for decision-making 📷 Dashboard preview attached below 🔗 GitHub: https://lnkd.in/g7VN3GeS #DataAnalytics #PowerBI #SQL #Python #Excel #DataAnalyst #PortfolioProject

💬 Power BI Challenge of the Day ⚙️❓ **Question:** For the given scenario, create a DAX measure that calculates the total sales amount for each product category, considering only the top 3 products based on sales amount within each category. Assume you have a "Sales" table with columns: "ProductID", "Category", "SalesAmount". ⚡️ **Answer:** ```DAX Top3ProductSales = CALCULATE( SUM('Sales'[SalesAmount]), TOPN(3, VALUES('Sales'[ProductID]), CALCULATE(SUM('Sales'[SalesAmount])) ) ``` 🔍 **Explanation:** The measure first calculates the total sales amount for each product, then uses the TOPN function to filter and return only the top 3 products based on sales amount within each category. #Hashtags #PowerBIChallenge #PowerInterview #LearnPowerBi #LearnSQL #TechJobs #DataAnalytics #DataScience #BigData #DataAnalyst #MachineLearning #Python #SQL #Tableau #DataVisualization #DataEngineering #ArtificialIntelligence #CloudComputing #BusinessIntelligence #Data

📊 End-to-End Data Analytics Project Completed! Excited to share my latest project on Customer Behavior Analysis, where I worked on a complete data analytics pipeline from raw data to meaningful insights 🔹 Data loading & preprocessing using Python 🔹 Data cleaning and Exploratory Data Analysis (EDA) 🔹 SQL analysis using PostgreSQL Server 🔹 Built an interactive dashboard using Power BI 🔹 Created a detailed report and presentation using Gamma 🔗 GitHub Repository: https://lnkd.in/grukmeSd This project helped me strengthen my skills in data analysis, SQL, and data visualization, and understand how data-driven insights can support better decision-making. Projects like these reflect how real-world datasets can be transformed into actionable business insights 📈 Looking forward to building more impactful projects and growing in the field of data analytics. #DataAnalytics #Python #SQL #PowerBI #EDA #DataScience #LearningJourney #AI #StudentProjects #GitHub

🚨 Most Data Analysts miss this… and struggle later You can learn SQL, Power BI, Python… But if your data is messy → your insights are WRONG 😓 💡 Reality check: 👉 Data Cleaning = 70% of real work 👉 Dashboards = only 30% 📊 10 Excel skills that instantly level you up: ✔ Remove duplicates ✔ TRIM() clean spaces ✔ UPPER / LOWER / PROPER ✔ Find & Replace ✔ Handle missing values ✔ Text to Columns ✔ Flash Fill (Ctrl + E) ⚡ ✔ Convert text → numbers ✔ Data Validation ✔ Delete blank rows fast 🔥 Clean data = strong analyst No cleaning = wrong decisions 📌 Save this for your next project #DataAnalytics #ExcelTips #DataCleaning #DataAnalyst #SQL #PowerBI #CareerGrowth