Leonardo Ojeda

Data & Automation Engineer @ Global X Canada

About

I am statistician passionate about data engineer, data analysis, Machine learning and AI. Data Exploration & Cleaning – Transforming raw data into structured, high-quality datasets. SQL & Python – Writing efficient queries and leveraging Python for statistical modeling and automation. Data Visualization – Creating interactive dashboards in Tableau & Power BI to monitor KPIs and support decision-making. Machine Learning & Predictive Analytics – Developing models for fraud detection, customer segmentation, and sales forecasting. I am passionate about using data to optimize operations, enhance customer experience, and drive business impact.

Country

Canada

City

Toronto

Industry

Computer Software

Skill

Data Science, Statistics, Data Lakes, SQL Database Administration, Jupyter, Azure Data Factory, Azure Databricks, Extract, Transform, Load (ETL), Inteligencia artificial, Microsoft SQL Server, Scala, Revisión de código, Almacenamiento de datos, Apache Airflow, Microsoft Power BI, Microsoft Azure, Microsoft PowerPoint, Análisis de datos, Git, Visualización de datos

Experience

Data & Automation Engineer

Global X Canada

2025-8 - Present · 1 yr 2 mos

Toronto, Ontario, Canada

Data Analyst

Canadian Food Innovation Network

2022-10 - 2025-1 · 2 yrs 4 mos

Canada

- Developed machine learning models to segment users and generate tailored insights, improving decision-making. - Defined and tracked business KPIs to evaluate product performance and measure impact. - Designed and maintained interactive dashboards and reports in Power BI for strategic decision-making. - Built and optimized ETL pipelines to enable efficient data processing and analysis. - Applied AI techniques to enhance data analysis, automating insights extraction and improving data-driven strategies. - Build data pipelines and ETL processes to drive data analysis.

Operations Data Analyst

DiDi

2022-2 - 2022-8 · 7 mos

Colombia

- Developed and implemented clustering models to segment users and stakeholders, increasing engagement by 15%. - Collaborated with international teams to improve data visualization and reporting processes. - Designed and deployed interactive dashboards to monitor operational KPIs and enhance strategic planning.

Data Analyst l

iFood

2020-8 - 2022-2 · 1 yr 7 mos

- Designed and optimized SQL queries to extract and transform large datasets for business analysis. - Developed ETL pipelines to automate data ingestion, transformation, and storage. - Performed big data analysis to generate insights that improved customer engagement KPIs by 10%.