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🚀 Interactive Employee Utilization Dashboard: Power BI & Power Apps Integration
Project managers and top stakeholders often struggle with disconnected reporting and feedback loops. To bridge this gap, I built an end-to-end solution combining Power BI for analytics with an embedded Power App that enables real-time feedback and weekly review submissions without ever leaving the dashboard report.
📌 Business Challenge & Overview
Leadership needed a unified platform to track employee utilization (hours spent, budget vs. actuals, stages) and conduct weekly reviews. The goal was to eliminate manual follow-ups by allowing managers to analyze key metrics and immediately submit feedback or scope change notes in a centralized system.
✨ Key Features & Functionality
Real-Time Analytics in Power BI: Displays key utilization metrics, including "Most Hours Spent" by employee, budget performance, actuals, and stage breakdowns.
Embedded Power App Form: Allows project leaders to perform weekly checklists, select disciplines, set review dates, and input qualitative feedback directly within the report canvas.
Write-Back Data Processing (Patch() Function): Utilizes the Power Apps Patch() function to seamlessly submit user responses and comments directly to an Excel database stored in SharePoint.
Weekly Review Workflow: Tracks scope change feedback and upcoming deliverables in real time, ensuring clear accountability across project management teams.
🛠️ Tech Stack & Architecture
Power BI: Embedded analytics, visual reporting, and data modeling.
Power Apps: Embedded canvas app, form controls, and custom canvas UI.
Power Apps Power Formula: Patch() function for writing data back dynamically.
Data Storage / Backend: Excel file stored on SharePoint for centralized weekly tracking.
📈 Business Impact
Eliminated Context-Switching: Stakeholders can view utilization metrics and log feedback in a single interface.
Streamlined Auditing: Ensures all weekly review notes, scope adjustments, and checklist submissions are systematically stored for weekly audits.
Faster Decision-Making: Bridges qualitative leadership feedback with quantitative utilization data.
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Everyone thinks a data dashboard should look complicated.
I think that is exactly why most of them fail.
I just finished Helios, a tool that tracks solar energy assets in real time. Dozens of sites, live output, verification records, a wall of numbers. The kind of screen people drown in.
Most designers would make it feel technical. More lines, more glow, more charts. I did the opposite. Every number had to answer one question in half a second, is this good or is this a problem. If it could not, it lost its place.
Because design is not decoration, it is closer to math. It is deciding what to remove until only the truth is left.
Complexity was never the enemy. Confusion is.
Get that right, and people trust you before you have said a word.
🚨 OPEN TO WORK | IMMEDIATE JOINER | BENGALURU / ANY LOCATION
Hello everyone,
I am actively looking for a suitable full-time opportunity and am available to join immediately.
I have 6 years of overall professional experience across Analyst Project Controls, PMO, Business Analysis, Financial Analytics and Reporting, with hands-on experience in:
📊 Power BI – Dashboard Development, DAX, Power Query & Reporting
📈 Project Controls – Budgeting, Forecasting, Cost & Revenue Analysis, Variance Analysis, JTD Hours
📑 Advanced Excel & VBA – Reporting and Process Automation
🗄️ SQL – Data Analysis & Reporting
☁️ Oracle Cloud ERP – Financial & Project-related reporting
⚡ Power Automate & Power Apps – Workflow and Reporting Automation
📊 SAP BI / Power BI / Microsoft Access – Business Reporting & Analytics
In my recent experience, I worked on Power BI dashboards for sales, budgeting, performance reporting and project-related analytics, along with automation and data integration.
I am particularly interested in opportunities such as:
🔹 Business Analyst
🔹 Analyst – Project Controls
🔹 Project Controls Analyst
🔹 PMO Analyst
🔹 Power BI Analyst / Developer
🔹 Reporting & Data Analyst
🔹 Financial / Business Analytics roles
📍 Location: Bengaluru / Open to other locations
⏱️ Availability: Immediate Joiner
I would sincerely appreciate any referrals, job leads, or introductions to recruiters/hiring managers who may have suitable openings.
Please feel free to DM me or tag someone who can help.
Thank you for your support. 🙏
AI-Assisted Sales Intelligence Dashboard
Project Overview
This project is an end-to-end Sales Analytics solution built using Python, SQL, and Power BI.
The workflow includes:
Data Cleaning using Python (Pandas)
Data Storage using SQLite
Business Analysis using SQL Queries
Interactive Dashboard using Power BI
Automated Business Report Generation using Python
The goal of this project is to analyze sales performance, identify profitable products, monitor regional performance, and generate business recommendations.
Dataset
Dataset: Sample Superstore Dataset
Records: 9,994
Features:
Order Details
Customer Information
Product Information
Sales
Profit
Discount
Region
Category
Sub-Category
Tools & Technologies
Python
Pandas
SQLite
SQL
Power BI
Data Visualization
Business Intelligence
Project Workflow
CSV Dataset
↓
Data Cleaning (Python)
↓
SQLite Database
↓
SQL Analysis
↓
Power BI Dashboard
↓
AI Business Report
Dashboard Pages
Executive Overview Total Sales Total Profit Total Orders Profit Margin Regional Sales Analysis Category Performance Analysis
Product Performance Analysis Top Profitable Products Loss-Making Products Profit by Category Sales by Sub-Category
Sales Trends Analysis Sales Trends Over Time Profit Trends Seasonal Performance Insights Key Business Insights West Region generated the highest sales. Technology is the most profitable category. Several products generate significant losses and require pricing review. Sales performance varies significantly across regions. Automated AI Report The project includes a Python-based reporting system that automatically generates:
Total Sales
Total Profit
Business Insights
Strategic Recommendations
Author
Gourav Jangid
Aspiring Data Analyst
Open to Data Analytics Opportunities
