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Raymond Paredes

Raymond Paredes

Data Analyst · Operations Architect · Procurement Lead

Data analytics specialist who transforms raw operational data into decision-ready dashboards and automates the manual processes that slow teams down. Based in Metro Manila, Philippines.

mailreiman.par@gmail.com
location_onManila, PH · Remote
linkLinkedIn
5+Years
30+Projects
50+Workflows
20+Dashboards

Professional experience

A progression from procurement operations to data analytics and workflow automation leadership.

2024 — 2025

Data Analytics

IPM Construction & Development Corp

Problem Statement

Leadership was waiting days for reports that existed somewhere in spreadsheets. KPIs were defined differently across departments, and no single source of truth existed for procurement spend, vendor performance, or operational efficiency.

Methodology
  • 1BI Dashboard Development: Built and maintained Power BI reports with DAX-optimised measures — pulling from structured data pipelines for real-time operational visibility.
  • 2Automated Extraction & Reporting: Replaced manual data pulls with n8n and Google Apps Script pipelines that ran on schedule and delivered clean outputs directly to stakeholders.
  • 3Statistical Trend Analysis: Identified seasonal patterns and procurement anomalies using descriptive statistics to feed into project management strategy adjustments.
  • 4Cross-Functional KPI Engineering: Facilitated workshops to align department heads on shared metric definitions, then codified those KPIs into the central data model.
  • 5Executive Dashboard: Built a C-suite-facing operational overview that surfaced overhead cost drivers and enabled same-day decision-making without analyst dependency.
Performance Metrics
40%
Data Accessibility
BI dashboards replaced scattered spreadsheets as the single source of truth
15h+
Saved Weekly
Automated extraction and reporting workflows eliminated manual data pulls
18%
Cost Reduction
Executive dashboard surfaced overhead inefficiencies for immediate action
Business Impact

Transformed reporting from a weekly email cycle into a live operational layer. Leadership moved from requesting data to acting on it the same day. KPI alignment across teams delivered a 20% efficiency gain, and statistical trend analysis contributed a 10% improvement in project management accuracy.

Power BIDAXn8nKPI EngineeringData Automation
2021 — 2023

Admin Operations

IPM Construction & Development Corp

Problem Statement

Documents were scattered across departments with no unified retrieval system. Procurement was siloed per office, vendor onboarding took weeks, and expense reporting was entirely manual — creating delays, errors, and unnecessary overhead at every step.

Methodology
  • 1Document Management Redesign: Restructured filing taxonomy and introduced a standardised retrieval system across 3 departments — indexed by project, type, and date.
  • 2Procurement Consolidation: Unified purchasing workflows across multiple offices into a single vendor negotiation framework, enabling bulk purchasing agreements.
  • 3Vendor Onboarding Overhaul: Mapped the legacy 2-week approval chain, identified bottlenecks, and redesigned the process with parallel approvals and digital submission — cutting time by 85%.
  • 4Automated Expense Reporting: Replaced manual spreadsheet submission with an automated pipeline — expenses were routed, validated, and logged without manual intervention.
Performance Metrics
60%
Retrieval Time Cut
Unified document system across 3 departments replaced ad-hoc file searches
25%
Cost Savings
Bulk purchasing agreements unlocked through consolidated procurement workflows
2w → 3d
Vendor Onboarding
Approval cycle redesigned from 14 days to 3 while maintaining compliance standards
Business Impact

Operational overhead dropped across every department touched. Expense reporting automation saved 15 hours of manual processing per week and cut error rates by 40%. Vendor onboarding speed meant procurement could respond to site demands in days — not weeks — keeping projects on schedule.

Process DesignProcurementWorkflow AutomationOperations
2018 — 2020

Procurement

IPM Construction & Development Corp

Problem Statement

Vendor pricing was tracked informally with no structured system, leaving negotiation leverage on the table. Supplier discovery was slow and entirely manual — limiting procurement options when projects needed materials fast.

Methodology
  • 1Vendor & Price Monitoring Database: Built a structured vendor database tracking quotes, delivery history, and price trends — enabling data-driven negotiation backed by historical benchmarks.
  • 2Supplier Relationship Management: Established preferred supplier agreements through consistent engagement and payment reliability — securing priority delivery slots and preferred pricing tiers.
  • 3Web Scraping Automation for Lead Sourcing: Built a large-scale scraping pipeline to systematically discover new suppliers across the Metro Manila construction materials market — replacing ad-hoc manual search entirely.
Performance Metrics
10%
Price Reduction
Vendor database insights enabled data-backed negotiation of buying price
0 delay
Supplier Pipeline
Automated scraper kept a live list of qualified lead suppliers at all times
Faster
Delivery Times
Trusted supply partnerships secured priority delivery for critical site materials
Business Impact

This role established the data mindset that defined Raymond's entire career trajectory. Turning procurement into a data problem — building a vendor database, monitoring prices, and automating supplier discovery — produced a 10% buying price reduction and an always-ready pipeline of qualified suppliers, eliminating procurement delays on active construction sites.

Vendor ManagementPrice AnalysisWeb ScrapingSupplier Sourcing

Technical skills

Three core competency areas — analytics, automation, and data infrastructure.

analytics

Analytics & BI

Advanced Power BI (DAX, M, TMDL)
SQL (PostgreSQL, Supabase)
Statistical trend analysis
KPI engineering
Excel & Google Sheets (advanced)
Power BIDAXSQLExcel
account_tree

Automation & ETL

n8n workflow orchestration
Google Apps Script (Gmail, Calendar, Sheets)
Python/Javascript/regex & OCR Document Parsing
RESTful API integration
Web scraping (Firecrawl, BeautifulSoup)
n8nGASPythonRegex
dns

Infrastructure & Knowledge

Docker containerization
Tailscale mesh networking
MongoDB, Supabase, Nginx
Obsidian vault architecture
BPMN 2.0 & Mermaid diagrams
DockerObsidianBPMNMermaid

Education

De La Salle College of Saint Benilde

BS Business Administration & Export Management

De La Salle College of Saint Benilde

Major in Business Analytics and Enthusiast in Operation Analytics

calendar_todayClass of 2017
verifiedVerified

Ready to work together?

I'm open to project collaborations, full-time roles, and freelance opportunities in data analytics and workflow automation.

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