Laura Blanco
@laurablanco
Data Scientist and Data Analyst turning optimization and predictive analytics into measurable, stakeholder-ready decisions.
What I'm looking for
I’m a data-driven problem solver who turns complex optimization and predictive challenges into measurable, stakeholder-ready outcomes. I build predictive models, interactive dashboards, and analytical tools in Python and R—combining rigorous statistical analysis with intuitive design.
In fast-paced consultancy settings, I’ve owned end-to-end projects: improving HubSpot data capture and reporting for quality and traceability, boosting predictive accuracy by 20%, and cutting optimization computation time from 14 hours to 30 minutes. I’ve also delivered Shiny and Dash dashboards, implemented ETL pipelines into relational databases, and created optimization solutions that achieved 50% cost savings.
Experience
Work history, roles, and key accomplishments
Junior Researcher — Data Scientist
Quantil S.A.S
Mar 2025 - Present (1 year 4 months)
Diagnosed, structured, and analyzed financial datasets to create clean models supporting business decisions. Built Python/R predictive and regression models for demand forecasting and supply optimization, and developed Shiny dashboards and ETL pipelines.
Data Analyst Consultant
D2 Caps
Jan 2026 - Feb 2026 (1 month)
Designed and deployed a financial data management and visualization tool using Python and Streamlit. Built ETL pipelines using Google Cloud APIs to consolidate spreadsheets into a relational SQL database and collaborated with stakeholders to define dashboard requirements.
Data Analysis Intern
Quantil S.A.S
Aug 2024 - Feb 2025 (6 months)
Designed a relational database schema and gathered stakeholder requirements with HR and finance teams. Built an end-to-end Dash visualization app and an ETL pipeline to migrate Excel datasets into a SQL database, plus documentation for ongoing maintenance.
Data Analyst Consultant
PhD Thesis Research Project
Nov 2023 - Mar 2024 (4 months)
Structured raw field research data into clean datasets and performed descriptive statistical analysis. Conducted hypothesis testing and visualization across multiple formal reports using Python.
Optimization Model Consultant
Fundiciones Universo S.A.S
Sep 2023 - Present (2 years 10 months)
Defined and implemented a custom combinatorial optimization algorithm in Python to minimize industrial cutting costs. Created visual operational maps and presented the mathematical solution to non-technical production staff.
Education
Degrees, certifications, and relevant coursework
Pontificia Universidad Javeriana Cali
Bachelor of Science, Applied Mathematics
2020 - 2025
B.Sc. in Applied Mathematics. Completed a bachelor’s thesis in combinatorial optimization evaluating Physarum polycephalum-based representations for the Capacitated Vehicle Routing Problem (CVRP).
Tech stack
Software and tools used professionally
Tableau
Google Cloud Platform
GitHub
NumPy
Pandas
Dataiku
Google BigQuery Data Transf...
MySQL
PostgreSQL
SQLite
Google Docs
Microsoft SharePoint
Google Drive
Google Analytics
Microsoft Teams
Python
scikit-learn
Streamlit
HubSpot
Flask
Google Workspace
Microsoft Office 365
Google Sheets
Microsoft Excel
Google Cloud SQL
Miro
Toolkit
Google BigQuery
Canva
SQL
LightGBM
KNIME Analytics Platform
D2
Shiny
Availability
Location
Authorized to work in
Portfolio
github.com/lauranblancoSocial media
Job categories
Skills
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