Upskill Continuously

Coffee Shop Store Dashboard | Excel + Power Query + Power Pivot Thrilled to share my latest project — a Coffee Shop Sales Dashboard built entirely in Excel, designed to transform raw sales data into actionable insights. Inspired by Ayushi Jain's tutorial on the WsCube Tech YouTube channel, I used her version as a base and enhanced it with my own design and features to make the dashboard more interactive and insightful. Tools & Features Used : Power Query : for data cleaning & transformation Power Pivot : for data modeling & DAX calculations Slicers : for dynamic, user-driven filtering Key Insights Derived : Peak sales hours & busiest weekdays Store-wise sales & footfall trends Product performance by category & size Average order value per customer Top products by revenue & quantity Why it matters : These insights can help optimize staffing, inventory, and promotions — boosting both revenue and customer satisfaction.

𝗘𝘅𝗰𝗶𝘁𝗲𝗱𝘁𝗼𝘀𝗵𝗮𝗿𝗲𝗺𝘆𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗻𝗱𝗮𝘁𝗮𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀! I recently completed an exploratory data analysis (EDA) using Python from WsCube Tech , Ayushi Jain,  where I dove deep into understanding customer churn patterns. From investigating contract types to payment methods, I was able to uncover some valuable insights on what drives customers to churn. This project helped me explore the power of data and how simple visualizations can reveal significant trends. I'd love to get your feedback on it!

🎉 Excited to Launch My New Bakery Website Project! 🍰🍪🍩
I'm thrilled to unveil my latest Frontend Web Development project — a fully responsive Bakery Website crafted with love and code! 💻✨
This project helped me sharpen my skills in HTML, CSS, JavaScript, jQuery, and Media Queries, while focusing on performance, design, and user experience.
🔗 Live Demo:https://lnkd.in/e2P9gkxw
📂 GitHub Repository:https://lnkd.in/exjhMixD
🛠️ Tech Stack & Tools:
✅ HTML5 – Clean, semantic markup for accessibility & SEO
✅ CSS3 – Stylish animations, transitions & responsive layouts
✅ JavaScript – Dynamic interactions & UI enhancements
✅ jQuery – Simplified DOM manipulation and event handling
✅ Media Queries – Seamless responsiveness across devices
🌟 Project Highlights:
🔹 Multi-page Navigation with intuitive UX
🔹 Smooth animations and interactive components
🔹 Custom Form Validations for better user input
🔹 Fully Responsive Design – Optimized for desktop, tablet & mobile
🔹 Cross-Browser Compatibility – Tested on Chrome, Firefox, Safari & Edge
🔹 Performance Optimization – Minified CSS & JS for faster loading
🙌 Gratitude Corner:
A heartfelt thank you to WsCube Tech Jaipur and my amazing mentors
Virendra Singh Rathore,Bhagirath GiriSir, andMahaveer KumawatSir for their guidance, support, and constant motivation throughout my journey. Your mentorship has been invaluable!
💬 I’d love to hear your thoughts and feedback. Feel free to explore and let me know what you think! 🚀

My Full Stack Web Development Journey — Successfully Completed! 🎓

I’m excited to share that I’ve successfully completed my Full Stack Web Development Course fromWsCube Tech, Jaipur, which I pursued from 18th October 2024 to 30th April 2025.

During this journey, I have mastered the MERN stack and other essential technologies:
🔹 Frontend: HTML, CSS, JavaScript, Bootstrap, Tailwind CSS,React.js
🔹 Backend: Node.js, Express.js
🔹 Database: MongoDB
🔹 Version Control & Tools: Git, GitHub
🔹 Productivity & AI: ChatGPT and real-time development practices

📌 My Learning Highlights:
✅ Built real-world projects with responsive UI/UX
✅ Used REST APIs
✅ Gained deep understanding of Git, deployment, and code management
✅ Created both user-side and admin-side panels

💼 Major Projects I worked on:
🔸 Myntra Clone – A fully responsive fashion e-commerce site
🔸 RedBus Clone – Booking platform with search and filter functionality
🔸 Spotify Clone – Music streaming UI with playlist features
🔸 E-commerce Website – With admin dashboard for product management

Special thanks to my mentors who guided me throughout:
Virendra Singh Rathore,Mahaveer Kumawat, andNikhil Khandelwal– your support made this learning phase insightful and practical.

My experience withWsCube Techwas truly amazing — from in-depth theoretical knowledge to hands-on practical implementation, everything was designed for real growth.

Sharing my Certificate of Completion and project snapshots below as a token of this memorable milestone!

Hello LinkedIn Community, I am very excited to share a new project on a FNP COMPANY sales Analysis using Excel given by WsCube Tech and Ayushi Jain. From analyzing revenue across occasions, categories, hours, and cities, to tracking monthly trends and delivery times – this dashboard brings all key metrics into one clear picture. It's helping us make smarter, faster decisions. completed a comprehensive Sales Analysis Dashboard for our recent sales performance at FNP – and the insights are both exciting and actionable!

From analyzing revenue across occasions, categories, hours, and cities, to tracking monthly trends and delivery times – this dashboard brings all key metrics into one clear picture. It's helping us make smarter, faster decisions. 💬 Would love to hear how you visualize and interpret sales data in your organization!

Coffee Shop Store Dashboard | Excel + Power Query + Power Pivot Thrilled to share my latest project — a Coffee Shop Sales Dashboard built entirely in Excel, designed to transform raw sales data into actionable insights. Inspired by Ayushi Jain's tutorial on the WsCube Tech YouTube channel, I used her version as a base and enhanced it with my own design and features to make the dashboard more interactive and insightful. Tools & Features Used : Power Query : for data cleaning & transformation Power Pivot : for data modeling & DAX calculations Slicers : for dynamic, user-driven filtering Key Insights Derived : Peak sales hours & busiest weekdays Store-wise sales & footfall trends Product performance by category & size Average order value per customer Top products by revenue & quantity Why it matters : These insights can help optimize staffing, inventory, and promotions — boosting both revenue and customer satisfaction.

𝗘𝘅𝗰𝗶𝘁𝗲𝗱𝘁𝗼𝘀𝗵𝗮𝗿𝗲𝗺𝘆𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗻𝗱𝗮𝘁𝗮𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀! I recently completed an exploratory data analysis (EDA) using Python from WsCube Tech , Ayushi Jain,  where I dove deep into understanding customer churn patterns. From investigating contract types to payment methods, I was able to uncover some valuable insights on what drives customers to churn. This project helped me explore the power of data and how simple visualizations can reveal significant trends. I'd love to get your feedback on it!