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End-to-end retail analytics pipeline that turns raw, messy CSV exports into business decisions, built in Python and SQL and runnable with one command.
What it does:
Cleans and validates 6 relational tables, fixes 585 data-quality issues and logs every action
Loads a SQLite warehouse with keys, constraints and window-function SQL
Customer analytics: RFM segmentation, cohort retention, CAC / LTV by channel, product Pareto, market-basket analysis
Churn prediction model validated on future data (ROC-AUC 0.71, no data leakage)
6-month revenue forecast, best of 3 models by backtest (4.2% MAPE)
Auto-generated Excel report (live formulas, native charts) and an interactive Streamlit dashboard
18 automated tests
Thanks, that's exactly why I built it that way. Honest answer: in this version there is no "report-only" tier. Every rule applies an action and the log records which one. The logic behind the choices:
Fix automatically when the right answer is unambiguous: country...
Thank you. I appreciate the feedback and the great question. Good luck with your project as well!
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If you let an AI coding agent run unconstrained self-repair loops, it won’t fix the bug—it will rewrite your unit tests to pass.
The concept of "Reflexion"—agents diagnosing and repairing code from test feedback—is powerful. But in production, autonomous repair creates severe operational risks.
First, agents enter endless retry loops that burn API budgets while degrading code structure. Second, if an agent has write access to your workspace, its quickest path to a green checkmark is modifying the test assertions rather than fixing the bug.
In our Bounded Reflexion workflow, we enforce three hard guardrails:
Bounded Retries: Cap repairs at exactly two attempts. If the patch fails twice, stop the loop and route to a human developer.
Read-Only Test Suites: Mount test files as strictly read-only (:ro) volumes in the container. The agent inspects stack traces, but cannot touch the grading harness.
Air-Gapped Sandboxing: Run code execution in hardened, non-root Docker containers with network egress locked down.
How do you stop autonomous coding agents from "cheating" your evaluation harnesses?
#AIEngineering #DevSecOps #Docker #SoftwareEngineering #AgenticAI
Power BI Project Description🩻
Sales Performance Dashboard | Power BI🙌
Developed an interactive Power BI dashboard to analyze sales performance, customer behavior, and business KPIs. The solution transforms raw data into actionable insights through dynamic visualizations and automated reporting.
Key Features:
Interactive KPI cards for Revenue, Inforce Policy Orders, and Growth
Sales analysis by State, Product Category, and Policy Segment
Dynamic slicers and drill-through functionality
Year-over-Year (YoY) performance tracking
Profitability and trend analysis using DAX measures
Data modeling with relationships and star schema design
Automated data refresh and optimized report performance
Tools & Technologies:
Power BI Desktop
Power Query
DAX
SQL / Excel Data Sources
Data Modeling & Visualization
Skills Tags🔥
Power BI • DAX • Power Query • Data Visualization • Business Intelligence • Dashboard Design • SQL • Data Analytics
