Operations Knowledge + Computer Science + Data and Analytics

Cristian Linares

Logistics and Operations Professional | MSc Computer Science | Data Analytics

Logistics and operations specialist with more than ten years of experience at Deutsche Post DHL, combining operational planning, time management, process optimization, and growing expertise in data analytics, software engineering, artificial intelligence, and machine learning.

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Professional Positioning

About

I combine deep logistics and operations knowledge with formal Computer Science education, data analytics, and software development. My work background includes process analysis, workforce and time management, workload measurement, capacity planning, KPI analysis, and cooperation with operational teams.

Business Understanding First

Technology creates value only when it starts from a clear understanding of the operational problem.

Data-Driven Decisions

Operational data should support better planning, clearer priorities, and measurable process improvements.

Technology as an Enabler

Software, analytics, and machine learning should support operations instead of forcing operations to adapt to technical limits.

Operational Background

Experience

2021 - Present Germany

Organisation / Zeitwirtschaft

Deutsche Post DHL

Operational planning, time management, and process optimization with a focus on data-based decision support.

  • Operational process analysis and optimization
  • Workforce and time management
  • Work measurement
  • Tour and resource planning
  • KPI analysis
  • Operational data analysis
  • Cooperation with operational teams
2020 - 2021 Germany

Personal- und Einsatzplanung

Deutsche Post DHL

Personnel disposition and shift planning.

  • Workforce scheduling
  • Operational resource coordination
  • Support for daily planning decisions
2019 - 2021 Germany

Teamleiter Zustellstützpunkt

Deutsche Post DHL

Leadership and coordination of operational teams.

  • Team coordination
  • Operational leadership
  • Support for delivery process execution
2016 - 2019 Germany

Zusteller

Deutsche Post DHL

Execution of operational delivery processes.

  • Delivery operations
  • Route execution
  • Customer-facing logistics processes

Academic Foundation

Education

Expected 2028

MSc Computer Science

Heriot-Watt University

  • All taught modules expected to be completed by August 2027
  • Programming & Program Design - 82%
  • Mathematics for Computer Science - 85%
  • Data Structures & Algorithms - 88%
  • Databases and Knowledge Representation - 94%
  • Software Design & Engineering - expected December 2026
  • Artificial Intelligence - expected May 2027
  • Data Mining & Machine Learning - expected August 2027

Bachelor Audio Production

Middlesex University

  • Academic degree completed in collaboration with SAE Institute
  • Audio production, mixing, mastering, and studio production
  • Audio post-production for film and television
  • Business planning and development for creative and media projects
  • Project-based production from concept and planning through to final delivery

Audio Engineering Diploma

SAE Institute

  • Professional audio engineering, recording, mixing, and mastering
  • Audio wave physics, signal flow, and fundamentals of acoustics
  • Room acoustics, acoustic measurement, and treatment of recording environments
  • Basic electronics, troubleshooting, maintenance, and repair of professional audio equipment
  • Analog and digital audio systems, studio hardware, and signal processing
  • Professional production workflows using Pro Tools, Sequoia, Cubase, Logic Pro, and Pyramix

Technical and Operational Capability

Skills

Operations & Process Optimization

Current
  • Operational planning
  • Workforce planning
  • Time management
  • Process analysis
  • Process optimization
  • Continuous improvement
  • KPI analysis
  • Business process analysis

Data & Business Intelligence

Current
  • Data analysis
  • SQL
  • PostgreSQL
  • Database design
  • Data modeling
  • Power BI fundamentals
  • DAX fundamentals
  • Reporting

Software Development

Current
  • Java
  • Spring Boot
  • Maven
  • Object-oriented programming
  • Data structures and algorithms
  • Git
  • GitHub
  • Software engineering fundamentals

Python & Machine Learning

Learning
  • Python
  • Pandas
  • Artificial intelligence
  • Machine learning
  • Data mining

Cloud & Data Platforms

Planned
  • Azure
  • Databricks
  • Snowflake
  • Advanced Power BI

Languages

Current
  • Spanish - native
  • German - professional fluency
  • English - professional fluency

Applied Direction

Projects

Concept project

Data-Driven Decision Support System

Enterprise-oriented decision support platform designed to transform operational data into actionable insights.

  1. Web Dashboard
  2. Security + Python ML Service
  3. Spring Boot Backend
  4. Snowflake
  5. Operational Systems
  • Operational KPI visualization
  • Data integration
  • Productivity analysis
  • Forecasting
  • Machine learning
  • Explanation of performance drivers
  • Role-based views
  • Decision support

Business first. Technology should support operations; operations should never adapt to technology simply because of technical limitations.

Professional Philosophy

Start With the Operational Problem

Do not start with technology. Understand the process, understand the data, then choose the appropriate technology.

  1. Domain Knowledge
  2. Business Problem
  3. Data
  4. Analysis
  5. Software / ML
  6. Decision Support
  7. Business Value

Credentials and Roadmap

Certifications

REFA Arbeitsorganisation

Deutsche Post DHL

First Choice Master Bronze

Deutsche Post DHL

IBM Data Science Orientation

IBM

IBM Tools for Data Science

IBM

IBM Data Science Methodology

IBM

Contact

Let us connect operational expertise with data-driven systems.

Connect practical operational expertise with computer science to build data-driven solutions for decision support, process optimization, and innovation in logistics and supply-chain processes.

Germany

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