Data Analyst with 2+ years building end-to-end pipelines, dashboards, and ML-powered systems across retail analytics, geospatial ML (ISRO), and forensic analytics. I specialize in the gap between raw data and decisions that actually get made.
aryan = {
"role" : "Data Analyst → Analytics Engineer",
"stack" : ["Python", "SQL/MySQL", "Power BI", "Tableau", "Prophet", "Scikit-learn"],
"learning" : ["Snowflake", "dbt Core", "Apache Airflow"],
"open_to" : ["Bengaluru", "Gurugram", "Hyderabad", "Mumbai"],
"building" : "SKU-Level Demand Anomaly Explainer (Prophet + Isolation Forest + Claude API)"
}|
Retail demand intelligence system that forecasts SKU-level demand, flags supply chain anomalies, and generates AI root-cause reports via Gemini API. 87% detection precision · 11.3% MAPE · <8s per report
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End-to-end pipeline ingesting Excel sales data into MySQL via Python ETL, with advanced SQL analytics and Matplotlib/Seaborn dashboards for revenue and product insights.
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This project delivers end to end vendor inventory,and profitability analytics solution using Python,SQL,Power BI.
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Production-grade Python scraper extracting title, price, rating, and stock from 1,000+ books across 50 pages, with Pandas cleaning and dual CSV/Excel export.
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Languages & Query
Data & ML
BI & Visualization
Geospatial
Learning Now
| Role | Organization | Key Work |
|---|---|---|
| Data Analyst | Inventoscope LLP | SQL pipelines · Power BI dashboards · ETL systems |
| Project Trainee | ISRO | Geospatial ML · SVM classifier (70%→95% accuracy) |
| Forensic Analytics | Deloitte Australia Framework | Statistical analysis · Tableau reporting |
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