🚀 Job Data Analysis and Visualization Complete end-to-end project combining Python for data cleaning and Tableau for powerful visual storytelling. Designed around real-world business challenges with complex filtering rules and dynamic dashboard behavior. 🛠️ Tech Stack Python – Data preprocessing (Pandas, NumPy)
Tableau – Interactive dashboards and visualizations
GitHub – Project version control and sharing
Phase | Details Data Cleaning | - Removed nulls and duplicates- Prepped clean dataset for Tableau Visualization | - Built 3 custom dashboards- Applied strict business filtering rules- Implemented time-based visibility (3–5 PM IST only)📈 Dashboards Overview
- Top 5 Roles (Intern - Account Director) Filters:
Work Type = Intern
Job Title = Account Director
Company Size < 2M
📊 Chart: Bar chart of top 5 roles in 2023
- Top 10 Companies (Data Engineer - Data Scientist) Filters:
Role = Data Engineer
Job Title = Data Scientist
Exclude all Asian countries
Exclude countries starting with 'C'
Latitude ≥ 10
Preference = Female
Qualification = B.Tech
Posting Date: 01/01/2023 – 06/01/2023
⏰ Special: Visible only between 3 PM to 5 PM IST
📊 Chart: Bar chart of Top 10 companies hiring
- Company Size vs Name (Mechanical Engineer) Filters:
Company Size < 50,000
Job Title = Mechanical Engineer
Experience > 5 years
Country: Asian countries only
Salary > $50,000
Work Type = Full-Time and Part-Time
Preference = Male
Applied via Idealist
⏰ Special: Visible only between 3 PM to 5 PM IST
📊 Chart: Scatter plot or Bar chart
🔥 Key Learnings Mastered data preparation for visualization.
Built complex, filter-heavy dashboards in Tableau.
Implemented dynamic dashboards based on time conditions.
Practiced real-world business scenario analysis.