DANIEL ESCOBAR

Applied Data Scientist

dunnhumby

Jun 2025 - Current (10 months)

🔹 Develop machine learning models for pricing, promotions, and assortment optimization by leveraging customer-level transaction data, loyalty programs, and predictive analytics. 🔹 Build scalable ETL pipelines and production-grade workflows using Python, SQL, and PySpark, supporting automated customer segmentation, demand forecasting, and model deployment. 🔹 Collaborate cross-functionally with data engineering, product management, and consulting teams to embed insights into client-facing solutions aligned with business KPIs and ROI goals. 🔹 Implement robust MLOps practices, including model retraining, performance monitoring, and data drift detection, ensuring long-term model accuracy and scalability in production.

Data Insights Analyst

Save the Children

Apr 2024 - Current (2 years)

• Led automation initiatives, reducing manual workload by up to 60% for data teams through Python, Power Query, and Power Automate, improving efficiency and scalability. • Optimized SQL queries and report generation, cutting processing times by up to 70%, enhancing data accessibility and responsiveness for business needs. • Designed and implemented scalable ETL pipelines for efficient data integration with the Azure Data Lake, ensuring high data quality and reliability. • Developed and maintained interactive dashboards in Tableau and Power BI, providing actionable insights to stakeholders across finance, marketing, and operations. • Championed data literacy initiatives, training and mentoring teams across the US agency to improve a

N

Data Scientist

National Agency of Health Technologies Assessment - IETS

Aug 2023 - Mar 2024 (8 months)

• Led a reengineering initiative that reduced the number of quantitative analysts required per project from three to one, ensuring 100% adherence to timelines and improving operational efficiency. • Developed and deployed machine learning models for population segmentation, leveraging logistic regression, Naïve Bayes, k-nearest neighbors, and decision trees, and visualized insights through Tableau dashboards to support healthcare decision-making. • Automated the consultation, projection, and segmentation of national health databases, significantly streamlining access to key health indicators for different age groups. • Conducted sensitivity and uncertainty analysis for mathematical models, ensuring the robustness of policy recommenda

C

Business Analyst & Python Instructor

Cedesistemas and Bancolombia

May 2021 - Dec 2021 (8 months)

• Instructed 18 team members in Python, Power BI, Spark, AWS, and Natural Language Processing (NLP), covering Tokenization, Lemmatization, Topic Modeling, research methodologies, hypothesis testing, and statistical analysis, improving the team's analytical capabilities. • Developed and implemented 80% of the team's analytical workflows, covering ETL, preprocessing, data exploration, feature engineering, modeling, and visualization for business problem-solving. • Designed and optimized machine learning models to support business strategies, leveraging Python libraries such as pandas, seaborn, scikit-learn, and Pytorch. • Defined and structured business problems into actionable data-driven solutions, ensuring alignment with organization

S

Financial Leader

Servipilas

Mar 2019 - Sep 2022 (3 years 7 months)

● Lead the finance team, providing guidance, mentoring and development opportunities. ● Run dashboards and models in Python that facilitate investment management and communication with stakeholders. Achievements ● Developed tools that enhanced database interaction efficiency by 50%, surpassing the time required by Excel and its macros. ● Improved the company's financial performance by reducing banking costs by 40% and increasing the operational liquid margin by an equivalent percentage.

Researcher

University of Antioquia

Aug 2015 - Dec 2018 (3 years 5 months)

● Market and industry Analytics of Colombian health and pharma sector. ● Surveys designs and quantitative analysis. ● Econometric modeling in R and Python. ● Policy Recommendations to the health ministry. ● Project outputs presentations in academic events.

DANIEL ESCOBAR

About

Detail

Timeline

Résumé