Freelancers using MySQLFreelancers using MySQL
Experienced Drupal Developer
$500k+
Earned
11x
Hired
5.0
Rating
33
Followers
Experienced Drupal Developer
Full stack developer, Top 1% at Contra
$50k+
Earned
10x
Hired
5.0
Rating
180
Followers
Full stack developer, Top 1% at Contra
Web Designer/Developer | Wordpress, Shopify, E-commerce, CMS
$1k+
Earned
2x
Hired
5.0
Rating
24
Followers
Web Designer/Developer | Wordpress, Shopify, E-commerce, CMS
Data automation for real estate, e-com & SaaS
$25k+
Earned
2x
Hired
5.0
Rating
31
Followers
Data automation for real estate, e-com & SaaS
IT Solutions – Execute your Concepts
$10k+
Earned
4x
Hired
5.0
Rating
15
Followers
IT Solutions – Execute your Concepts
Application Developer | ERP Modernization Specialist
$1k+
Earned
5
Followers
Application Developer | ERP Modernization Specialist
Insights from data, impact through design
New to Contra
Insights from data, impact through design
Cover image for Dashboard Overview: A Three-Pillar System
The
Dashboard Overview: A Three-Pillar System The interface is divided into three functional tabs, providing a comprehensive view of the product lifecycle: The Home Tab (Product Showcase): * Features a sleek carousel of iconic models like Air Jordan 1 Low SE, Jordan Aerospace 720, and Air Max 97. Provides high-quality product imagery alongside narrative descriptions of the shoe's heritage and design features. The Review Tab (Sales Performance): Displays critical KPIs: Total Profit (reaching up to $1.21M for the Air Jordan 5 Retro), Total Units Sold, and User Ratings/Reviews. Uses a "Sold Out" badge to visually highlight high-demand inventory. The Analyse Tab (Geographic Insights): Visualizes regional performance through "Units Sold by Region" line graphs and "Profit by Region" bar charts (categorized into South, Northeast, Southwest, and Midwest). Key Insights for Portfolio Posting If you are listing this project on Contra or LinkedIn, highlight these technical and business strengths: Integrated UX/UI Design: The dashboard seamlessly transitions from a retail catalog to a data-heavy analytics tool, maintaining a consistent brand aesthetic. Data-Driven Decision Making: By linking specific shoe models to regional profit data, the dashboard allows managers to see exactly where a product is trending (e.g., higher profit in the "South" vs. "Midwest"). Interactive Navigation: The bottom carousel serves as a global filter, allowing the user to switch products and instantly update the sales and geographic data across all tabs. Technical Skillset Demonstrated Data Visualization: Mastery of multi-series charts and KPI cards. Frontend Design: Clean, "Nike-inspired" minimalist layout with high attention to white space and typography. Business Intelligence: Creating a closed-loop system where product features are directly tied to financial outcomes.
1
415
Cover image for 🚗 Driver Insights Dashboard
Power BI
🚗 Driver Insights Dashboard Power BI | Data Analytics | Ride-Hailing Industry Project Overview A client in the ride-hailing space had 76M in revenue and 148K+ bookings — but zero visibility into WHY rides were failing. No one could explain the cancellations, the incomplete trips, or the growing gap between driver and customer satisfaction. I built a 5-page interactive Power BI dashboard that answered all of it. The Problem The client's data had serious blind spots: → Thousands of cancelled rides with no breakdown of fault → Auto & Go Mini vehicles had the highest incomplete ride rate (2.3K and 1.8K) → Driver ratings (4.23 avg) consistently below customer ratings (4.41) across all 7 vehicle types — with no system to catch it → Seasonal revenue dips (Q1 → Q2) were going unnoticed and unplanned → Go Sedan held 24.92% of total booking value — but had no dedicated tracking What I Delivered 📊 5-page Power BI Dashboard with full interactivity Overview — Revenue, Booking Ratio, CR by Customer & Driver at a glance Booking Ratio — VTAT trends across all vehicle types Revenue by Time — Month-wise & quarter-wise booking price analysis Cancelling — Cancelled rides breakdown by vehicle type & reason Cancelling Rides — Incomplete ride root causes + booking value vs distance scatter plot Plus: Dynamic slicers for Booking Status and Vehicle Type — so the client's team could self-serve their own filters without needing a data analyst every time. Results & Impact ✅ Operations team can now flag high-cancellation drivers proactively ✅ Vehicle maintenance triggers identified through incomplete ride spikes ✅ CX team has exact cancellation reasons — wrong address, AC issues, driver-asked-to-cancel — with counts, not guesses ✅ Revenue seasonality now visible and plannable quarter by quarter ✅ Fleet resource allocation backed by data (Go Sedan priority confirmed) Tools Used • Power BI Desktop • DAX (custom measures & KPIs) • Power Query (data cleaning & transformation) Looking for similar work? If you have messy data and need a dashboard that actually tells a story — let's talk. I specialize in turning raw operational data into clear, decision-ready visuals.
1
289
Cover image for This is a professional business
This is a professional business dashboard, titled for 'Imtiaz'. Let's break down the key performance indicators (KPIs) and data visualizations presented: Summary (Top Banner): Total Sales: 55K Sum of Revenue: 2.74 Million (M) Total Unit Price: 0.28 Million (M) Average Order Value: 0.01 Million (M) Monthly Sales (Highlight): 4698, which is +132.69% above the goal of 2.02K. This represents a very strong performance against target. Key Visualizations: Left Sidebar (Navigation/Icons): Features common navigation icons including Home, Team/Community, Human Resources (HR), Inventory management (boxes), Sales analysis (chart), and Global/Network access. Left Filters: Specific location filters for Faisalabad, Islamabad, Karachi, and Lahore. Sales by Quarter (Pie Chart): Shows the distribution of sales across the four quarters of the year. Sales are relatively balanced, with specific values (like 2.45K for Q1, 2.41K for Q2, and 2.57K for Q3 and Q4) provided for each segment. Sales by City (Bar Chart): Ranks performance across four major cities. Karachi is the top performer (close to 20K sales), followed by Faisalabad, Lahore, and Islamabad, all performing within a similar range between 10K and 15K. Revenue by Sales (Line Graph): A detailed trend line showing daily (or granular) fluctuations in revenue (y-axis) plotted against the sequential count of sales (x-axis, from 200 to over 300 sales transactions). The graph shows high volatility. Sales by Category (Line/Area Chart): Shows sales performance by product category. It clearly indicates a high initial volume from 'Clothing', which then significantly drops and plateaus for 'Home Decor', 'Electronics', and 'Beauty' categories. This suggests clothing is the primary sales driver. My portfolio: https://kazimhaidersyedportfolio.lovable.app/
0
312