Data and AI Portfolio

Harold Uribe Romero

Data Scientist | Data Analyst | DS4A Graduate | Business Analyst | Python

Panama

5+ years of impact
7 data and AI roles
300+ students trained
Harold Uribe Romero

About me

As a Data Scientist and Analyst with 5 years of experience, I specialize in transforming complex data into clear and actionable solutions, significantly improving decision-making in diverse sectors such as chemical, automotive, utilities, retail, and telecommunications. My ability to design intuitive dashboards in Power BI and Tableau, combined with deep SQL knowledge, allows me to capture and present complex business logic effectively.

In the field of machine learning, I have developed and implemented predictive models using Python (Pandas, Seaborn, NumPy, scikit-learn), and managed their effective deployment through Flask and Docker. My experience with products on platforms like AWS and GCP allows me to manage data efficiently, contributing to robust analytical solutions.

What truly drives me is generating a positive impact on customer experience and operational efficiency, something I have achieved in previous roles by increasing sales, reducing churn, and optimizing KPIs. My focus is on providing insights that enable companies and businesses to make informed, data-driven decisions.

Core focus

Data storytelling for executives and cross-functional teams.

Operational analytics, automation, and measurable business impact.

Machine learning delivery with dashboards, data products, and stakeholder alignment.

Experience

7 roles

LLA

Liberty Latin America

Business Analytics Associate Manager (Mar 2025 - Present)

  • 40% optimization in the reporting process, enabling more agile and accurate decision-making.
  • Integration and standardization of data in the corporate datalake, improving the quality and usefulness of reports.
  • Development of dashboards and reporting for operations in several countries.
LLA

Liberty Latin America

Business Intelligence (BI) and Data Coordinator (Mar 2024 - Mar 2025)

  • 40% optimization in the reporting process, enabling more agile and accurate decision-making.
  • Integration and standardization of data in the corporate datalake, improving the quality and usefulness of reports.
  • Development of dashboards and reporting for operations in several countries.
LLA

Liberty Latin America

Senior BI & Data Analyst (Feb 2023 - Mar 2024)

  • 40% optimization in the reporting process, enabling more agile and accurate decision-making.
  • Integration and standardization of data in the corporate datalake, improving the quality and usefulness of reports.
  • Development of dashboards and reporting for operations in several countries.
UdeC

UdeCataluña

Lecturer in Data Science and Machine Learning Diploma (Feb 2023 - Present)

  • Lectures to more than 300 students.
  • Preparation of support material and academic feedback.
P

Predik Data Driven

Data Analyst (Jun 2022 - Feb 2023)

  • Data processing and modeling using AWS, Python, SQL, and Tableau.
  • Development of reports and machine learning models for clients.
NTT

NTT DATA

Consultant (Jan 2022 - Jun 2022)

  • Implementation of data strategy for utilities, pensions, and banking sector.
  • Blending projects and extraction of data-driven conclusions.
PK

Polikem SAS

Technical Industrial Coordinator (Mar 2019 - Jan 2022)

  • Generation and implementation of data models for commercial alignment.
  • Implementation of dashboards and commercial data analysis.

Skills

A blend of macro skills for leadership and short-form tools for fast execution.

Macro skills

Analytics strategyData storytellingStakeholder managementBI architectureTeam leadershipDecision-makingProcess automation

Short courses and tools

PythonSQLPower BITableauMachine LearningAWSGCPPandasNumPyscikit-learnFlaskDocker

Main studies

Graduate

Data Science for All (DS4A)

Intensive training in applied data science, analytics, and business-oriented problem solving.

Chemistry

Universidad Nacional de Colombia

A rigorous scientific foundation for analytical thinking, research, and structured problem solving.

Contact

Open to leadership roles in Data Science, Analytics, and AI Engineering. If you want to connect, LinkedIn is the best path.

LinkedIn