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Currently sharpening my Data Analytics skills.Working on projects around SQL, Python, dashboards, data cleaning, visualization, and automation — with a focus on turning data into clear, actionable insights.If you're also working in analytics, AI, or software development, let's connect.
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Related posts
📊 Power BI Performance Tracker Dashboard
Turning raw data into meaningful insights!
I’m excited to share my latest Power BI Dashboard-Performance Tracker, designed to provide a clear and interactive view of business performance.
Key Features:
📈 YTD Sales Performance (2022 vs. 2023)
🎯 Budget vs. Actual Sales Analysis
📊 Sales Growth & Performance KPIs
🗂️ Sales Analysis by Segment
📅 Monthly Order Trends
📉 Category & Segment Growth Analysis
Tools Used: Microsoft Power BI | Data Visualization | Dashboard Design
My goal was to create a clean, modern, and visually engaging dashboard that makes complex business data easier to understand and supports better decision-making.
Always learning, building, and transforming data into insights!
#PowerBI #DataAnalytics #DataVisualization #BusinessIntelligence #DashboardDesign #MicrosoftPowerBI #DataAnalyst #Contra
Road Safety Analysis | Python, SQL & Power BI
Developed an end-to-end road safety analytics project to help authorities understand accident patterns, identify high-risk areas, and make informed decisions about road safety interventions.
The project involved cleaning and preparing road accident data using Python and Pandas, followed by SQL-based exploratory analysis to investigate accident trends, casualty figures, severity distributions, and geographical patterns.
Using Power BI, I transformed the findings into an interactive dashboard featuring key performance indicators and visualisations that provide an overview of accident activity, highlight trends over time, and reveal differences in accident occurrence across districts and locations.
The analysis also explored accident severity in relation to road types, weather conditions, lighting, and road surface conditions.
Tools used: Python, Pandas, SQL, Power BI.
Project deliverable: An interactive Power BI dashboard supported by data cleaning, transformation, and SQL analysis.
The objective was to turn raw accident data into clear, meaningful insights that can support evidence-based road safety planning and resource prioritisation.
I created an interactive "Neutra-Center Sales Dashboard using Microsoft Power BI" to transform sales excel data into clear, meaningful business insights.
Key Features:
- Interactive quarterly and state filters
- Sales and profit KPI cards
- Customer and product performance analysis
- Payments method distribution
- State-wise profit coparison
- Monthly sales trend visualization
- Geographic sales distribution map
- Clean, modern dashboard design
This project demonstrates my ability to present sales data in an organized, interactive, and visually appealing format to help user understand business performance and identify important trends.
