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Automated Operational Alert ETL and Data Transformation Suite
This project demonstrates advanced data extraction, transformation, and loading (ETL) capabilities using Excel Power Query to process complex infrastructure logs. Raw, unstructured timestamp data was ingested and cleaned to isolate key operational dimensions: building locations (Campus Name) and shifted timeframes (Morning, Evening, Night). By optimizing data types, handling missing values, and structuring the data pipeline, I built a dynamic data model. The transformed dataset feeds an automated PivotTable and a stacked column visualization, mapping total alert distributions across facilities to pinpoint peak operational demands and resource allocation requirements.
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Designed an interactive Excel sales dashboard using pivot tables, slicers, and dynamic charts to analyze sales performance across regions, product categories, customers, and time periods.The dashboard helps identify trends, monitor KPIs, and support smarter business decisions.
Love how you've combined slicers with dynamic charts — the category and year filters make this instantly usable for business decisions without any extra explanation needed. The Top 5 Customers and Monthly Sales panels together tell a complete story. Clean and practical work Myra!
I designed and deployed a custom AI Agent built to handle real operational workloads — not just chat responses. This system combines reasoning, memory, and tool‑use to execute tasks autonomously, reduce manual overhead, and deliver consistent, high‑quality outputs.
What it does:
Processes inputs and makes decisions without supervision
Runs multi‑step workflows with logic and error‑handling
Integrates with APIs, databases, and internal tools
Summarizes, routes, and evaluates information
Operates asynchronously and scales with workload
Why it matters:
This agent replaces repetitive manual tasks, increases operational clarity, and creates a reliable automation layer that founders can trust. It’s built with security, auditability, and real‑world constraints in mind.
Tech used:
LLMs, embeddings, secure tool‑use, workflow orchestration, async operations, and custom logic modules.
Outcome:
A stable, autonomous system that reduces cognitive load, accelerates execution, and frees teams to focus on higher‑value work.
This is the future and most people still aren't paying attention.
Everyone is talking about AI but very few are actually building with it at this level reasoning, memory, tool-use, real workflows. Not a chatbot. Not a gimmick.
A system that actually WORKS while you sleep.
...
Think Excel is just for tables? Think again. 🚀
I built this fully interactive E-commerce Sales Dashboard 100% in Excel. No Power BI, no Tableau—just advanced DAX, Power Pivot, and strategic design.
The Reality:
Excel is "hard mode" for data viz. It’s more complicated to make it look this good, but it’s the one tool every business actually uses. Mastering it means being able to deliver insights in any environment.
What’s inside:
CY vs. PY Revenue Trends with dynamic indicators.
Customer Loyalty & Retention tracking.
Top Performance Deep-Dives by country and product.
Proof that you don’t need expensive subscriptions for high-end analytics—you just need the right architecture.
Data VisualizationData AnalysisData EngineeringGoogle GeminiMicrosoft ExcelMicrosoft Power BIdatacleaning
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