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Global Superstore Sales Performance Analysis — 51,290 Transactions Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Power BI, DAX • Cleaned and validated a 51,290-row transactional dataset; performed exploratory data analysis in Python to evaluate sales, profit, discount, product, and regional performance. • Built a 3-page interactive Power BI dashboard with 13 DAX measures covering KPI tracking, regional performance, sales trends, and profitability analysis. • Identified underperforming categories and discount-driven profit erosion, translating findings into actionable business insights.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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:Built an interactive hotel dashboard in Power BI to turn raw booking and revenue data into clear, at-a-glance insights for hotel management.
Finding the right job often requires manually comparing a resume against dozens of job descriptions.
This project automates that process by:
Analyzing a resume against multiple real job postings
Generating AI-powered match scores
Identifying missing skills
Providing resume improvement suggestions
Storing results in a SQL database
Visualizing insights in Power BI
Offering a live Streamlit web application
🛠️ Tech Stack
Python
Pandas
SQLite
SQL
Google Gemini AI API
Streamlit
Power BI
VS Code
📊 Key Features
AI Resume Analysis
Resume-to-job match scoring (0–100%)
Missing skill identification
AI-generated recruiter feedback
Resume improvement recommendations
Database & SQL
Stores analyzed jobs in SQLite
Performs analytical queries
Identifies skill gaps
Finds best-fit companies and locations
Power BI Dashboard
Average Match Score
Strong Fit Jobs
Top Match Score
Company Match Analysis
Skill Gap Analysis
Streamlit Application
Paste any job description and instantly receive:
Match Score
Missing Skills
AI Feedback
Resume Improvement Tips
📈 Dashboard Insights
The dashboard provides:
Overall resume strength across jobs
Best matching companies
Skill gap analysis
Job fit distribution
Career improvement opportunities
🎯 Business Value
This project demonstrates:
Data Cleaning
Data Analysis
SQL Querying
AI Integration
Dashboard Development
Data Visualization
End-to-End Analytics Workflow
🔮 Future Improvements
Analyze 100+ job postings
Automated LinkedIn job ingestion
Multiple resume comparison
Industry-specific recommendations
Advanced skill trend tracking
👨💻 Author
Gourav Jangid
Aspiring Data Analyst passionate about transforming data into actionable insights using Analytics, SQL, Python, Power BI, and AI.
Awesome use case! Automating resume-job matching saves so much time.
Just wrapped up an advanced workforce analytics dashboard to track turnover drivers and baseline churn rates. Skilled in SQL, Tableau, Power BI, and Python (Pandas) to turn complex datasets into actionable business insights. Always excited to help companies scale with data-backed decisions—currently available for remote freelance and contract-based projects. Let's connect!
