A professional-grade data analytics project analyzing 32,438 tech job postings from India's largest job portal (Naukri.com) to uncover hiring trends, skill demand, salary intelligence, and fresher opportunity insights for India's technology sector in 2025-26.
India's tech hiring ecosystem lacks a centralized, data-driven intelligence layer connecting real-time skill demand signals with salary benchmarks, geographic talent distribution, and fresher employability metrics. This platform transforms raw job market data into actionable intelligence for both hiring managers and fresh graduates.
Dataset: Naukri.com India Job Market 2025-26 (Kaggle)
Raw Records: 97,929 job postings
Tech Records: 32,438 (after classification)
Skill Mentions: 241,109 across 18,702 unique skills
Companies: 6,482
Cities: 428
| # | Finding | Key Number |
|---|---|---|
| 1 | Python leads India's tech skill demand | 15.3% of all postings |
| 2 | Only 1 in 5 tech roles is fresher-eligible | 20.21% (6,556 postings) |
| 3 | Hyderabad & Bengaluru offer statistically equal salaries | p = 0.474 |
| 4 | Senior tech roles pay 4.2x more than junior roles | ₹25 vs ₹5.9 LPA |
| 5 | Generative AI commands highest salary premium | +150% above median |
| 6 | Accenture is India's largest fresher employer | 1,088 fresher postings |
| 7 | Tech hiring drops 97% on weekends | 157 vs 5,712 peak day |
| 8 | Spring Boot + Microservices is India's tightest skill pair | Jaccard 0.41 |
| 9 | Skill count has no significant salary correlation | r = 0.020, p = 0.109 |
| 10 | No Indian city achieves Top-Tier FOI score | Best: Bengaluru = 56.5/100 |
The FOI is an original composite metric developed for this project that ranks Indian cities for fresh graduate tech opportunities:
FOI = Entry-level ratio (40%)
- Salary competitiveness (30%)
- Market depth (20%)
- Work flexibility (10%)
| Rank | City | FOI Score | Tech Jobs | Fresher % | Median Salary |
|---|---|---|---|---|---|
| 🥇 1 | Bengaluru | 56.5 | 9,358 | 17% | ₹13.2 LPA |
| 🥇 1 | Hyderabad | 56.5 | 5,502 | 14% | ₹13.5 LPA |
| 🥉 3 | Mohali | 49.6 | 122 | 47% | ₹6.5 LPA |
| 4 | Gurugram | 49.5 | 1,319 | 24% | ₹10.5 LPA |
| 5 | Thane | 48.5 | 148 | 44% | ₹6.6 LPA |
| Layer | Tools Used |
|---|---|
| Data Collection | Kaggle (Naukri.com scrape) |
| Data Cleaning | Python, Pandas, NumPy, Regex |
| Exploratory Analysis | Pandas, Matplotlib, Seaborn, Plotly |
| Statistical Analysis | SciPy (Mann-Whitney U, Pearson, Spearman) |
| Advanced Analytics | Jaccard Similarity, Composite Scoring |
| Visualization | Matplotlib (25 charts), Power BI (4-page dashboard) |
| Documentation | Markdown, Jupyter Notebooks |
| Version Control | Git, GitHub |
india-tech-talent-intelligence-2026/ │ ├── 📁 data/ │ ├── raw/ ← Original dataset (not tracked) │ ├── processed/ ← Cleaned CSVs │ └── external/ ← Reference data │ ├── 📁 notebooks/ │ ├── 01_data_understanding.ipynb │ ├── 02_data_cleaning.ipynb │ ├── 03_exploratory_analysis.ipynb │ ├── 04_statistical_analysis.ipynb │ └── 05_advanced_analytics.ipynb │ ├── 📁 outputs/ │ ├── charts/ ← 25 analysis charts (PNG) │ ├── tables/ ← Key result tables (CSV) │ └── reports/ ← Executive insights (MD) │ ├── 📁 powerbi/ ← Dashboard (.pbix + screenshots) ├── 📁 scripts/ ← Reusable Python functions ├── 📁 sql/ ← SQL analysis queries └── 📁 docs/ ← Methodology & data dictionary
# Clone the repository
git clone https://github.com/Piyush1228/india-tech-talent-intelligence-2026.git
cd india-tech-talent-intelligence-2026
# Create and activate conda environment
conda create -n talent_intel python=3.11
conda activate talent_intel
# Install dependencies
pip install -r requirements.txt- Download the dataset from Kaggle:
India Job Market Dataset 2025 - Place
india_job_market_2025.csvindata/raw/
# Open Jupyter
jupyter notebook
# Run in this sequence:
# 01_data_understanding.ipynb
# 02_data_cleaning.ipynb
# 03_exploratory_analysis.ipynb
# 04_statistical_analysis.ipynb
# 05_advanced_analytics.ipynbThis project answers 30 business questions across 5 domains:
Skill Intelligence: Which skills are most demanded? Which skills co-occur most frequently? What is the minimum viable fresher skill set?
Salary Intelligence: Which roles pay the most? Which cities offer the highest salaries? Which skills command salary premiums?
Location Intelligence: Which cities have the most tech jobs? Which cities are best for freshers? What is the work mode split?
Role Intelligence: Which roles are growing fastest? Which are most accessible to freshers? What is the career path salary curve?
Company Intelligence: Who are the top hirers? Which companies hire the most freshers? How does company rating relate to salary?
- Removed 571 rows with systemic scraping failures
- Resolved 247 full duplicate records
- Built keyword-based tech role classifier (v3, ~90% precision)
- Extracted
primary_cityfrom 10,066 unique location strings - Normalized 18,702 raw skill variants into canonical forms
- Identified and corrected 87 monthly-to-annual salary anomalies
- Final dataset: 32,438 tech postings, 0.84% removal rate
- Real-time data pipeline using Naukri API
- NLP-based skill extraction from job descriptions
- Salary prediction ML model (Random Forest)
- Interactive web dashboard (Streamlit)
- Time-series trend analysis with monthly scrapes
- Resume-to-job-match scoring system
Piyush — B.Tech Information Technology, RTU Kota (CGPA 8.45)
Seeking roles in Data Analytics, Business Analysis, and AI
This project is licensed under the MIT License.
Dataset credit: Naukri.com India Job Market 2025-26 via Kaggle.