Enrique Cifuentes — Data Analytics

About Me

Results-driven Data Analyst specializing in transforming manual workflows into intelligent, automated systems. At a global data center infrastructure manufacturer — supplying key industry players — I delivered an average 53% immediate efficiency gain, with an additional 30–40% optimization potential as teams reach maturity. That's what I do: turn operational bottlenecks into scalable, high-value systems.

% Peak efficiency gain achieved

Team members impacted by the tools

Google Certifications · Data Analytics

Technical Stack

01 —

AI Tools

Advanced prompting with Claude and ChatGPT for software development, automation and problem-solving. GitHub Copilot integrated in real coding workflows.

02 —

Python

Pipeline automation, scripting with Pandas, tool development with PyInstaller and AI-assisted development.

03 —

SQL & Excel

Advanced queries, data modeling, VBA and KPI dashboards for executive reporting.

04 —

Power BI

Data visualization, interactive dashboard design and storytelling focused on operational decision-making.

05 —

Automation & QA

PDF generation and validation, document quality control and redesign of technical verification workflows.

My
Projects

001

Automated QA Engine

Automatically audits full batches of electrical test PDFs (DLRO and Megger), validating required fields, technical rules and value consistency. Detects errors before the document package is closed, eliminating manual page-by-page reviews.

Annual impact (20–40 units/day) Manual review → ~2,000–4,800 hrs/year saved

Python Validation Quality Control DLRO / Megger

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002

Report Generation Suite

Automatically generates final electrical test PDFs from ICP files. Detects whether the test is 10A or 100A, applies the correct template, and organizes results into subfolders of 5 tests. Deployed on 17 active laptops in production.

3 active lines · 7 pairs/day 60–80 min/pair → 481 hrs/month · 5,775 hrs/year

Python Automation DataView PDF Generation

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003

Data Pipeline Processor

Prepares and standardizes ICP files exported from DataView. Automatically inserts temperature, metal type, coefficient and comments; reorders tests following required naming (L1, L2, L3, N, GND) and delivers ready-to-use files with no manual editing.

Combined with Report Generation Suite Manual → 481 hrs/month · 5,775 hrs/year

Python DataView Standardization ICP

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004

Asset Tracking System

Captures Busplug, MTS and NEFR serial numbers via USB scanner and automatically generates the DLRO folder structure. Eliminates double manual entry (handwrite + retype) and transcription errors on long, hard-to-read serial labels.

3–4 active projects · 7 pairs/day 30–50 min/pair → ~3,150–5,250 hrs/year saved

Python USB Scanner Automation Offline

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005

Document Automation Hub

Automatically pulls data from a main sheet into output sheets with the correct format, generates the corresponding PDFs and consolidates them into a print-ready package. Replaces a manual printing process requiring handwritten entry of 5 fields per unit.

4 lines · 4 projects/year each Manual per unit → 320+ hrs/year saved

Python Google Sheets PDF Merge Automation

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EnriqueCifuentes

MyProjects

Let's buildsomethingefficient together.

Enrique
Cifuentes

My
Projects

Let's build
something
efficient together.