I build practical data products that convert raw business data into dashboards, SQL insights, forecasting models, and decision-ready recommendations. My current focus is analytics engineering, customer intelligence, retail forecasting, financial risk monitoring, and NLP-based market intelligence for internships in Data Analytics and AI/ML.
| Area | Tools |
|---|---|
| Languages | Python, SQL |
| Analytics | Pandas, NumPy, Scikit-Learn, XGBoost, Prophet |
| BI and Visualization | Power BI, Tableau Desktop, Excel, Matplotlib, Seaborn |
| Databases | MySQL-style schema design, analytical SQL, reporting views |
| Applied AI/ML | Forecasting, RFM segmentation, KMeans, Logistic Regression, Isolation Forest, NLP keyword extraction |
| Workflow | Git, GitHub, reproducible project structure, batch analytics pipelines |
| Project | Result Summary | Link |
|---|---|---|
| Retail Demand Forecasting | Built an XGBoost and Prophet forecasting pipeline on 200 synthetic M5-style rows; XGBoost achieved MAE 118.4 and R2 0.88. | View Repo |
| Customer Analytics 360 | Created RFM segmentation with KMeans and churn scoring across 250 India-context customer records. | View Repo |
| Job Market Intelligence | Built an NLP keyword pipeline over 150 synthetic NCR/India job posts to rank skills, roles, salaries, and locations. | View Repo |
| Financial Risk Monitor | Built a batch risk scoring and Isolation Forest anomaly pipeline over 300 synthetic transaction records, flagging 24 escalations. | View Repo |
Open to Data Analytics Intern and AI/ML Engineer Intern roles, especially in Noida, Delhi NCR, Gurugram, Bengaluru, Hyderabad, Mumbai, and Pune.
- LinkedIn: Shaurya Rajput
- Portfolio: Project Portfolio Repository
- GitHub: shaurya1234578-oss