Leonardo K.
Data Scientist

Skills

Spark

Sql

Google Bigquery

Databricks

Microsoft Excel (Advanced Analytics Add-ons)

Python

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Hire Leonardo K.

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Bio

Mechanical Engineer with a postgraduate degree in Data Science, specializing in Machine Learning models and statistical analyses. Authored an internationally published scientific article on mathematical optimization. As a Data Scientist, expertise lies in consulting, data extraction, and processing from SQL databases, as well as implementing supervised and unsupervised models in Python and R. Played a key role in developing and applying mathematical optimization methods, leading the creation of a pioneering investment optimization library for advertising. Proficient in creating dashboards using PowerBI, incorporating PowerQuery and DAX for result visualization, with advanced English proficiency.

Data Scientist
8/1/2022 - Present

Developed and executed Machine Learning models and statistical studies to support Marketing Science initiatives for prominent clients. Leveraged mathematical optimization algorithms with Differential Evolution and Curve-Fitting techniques to enhance study outcomes. Engaged in data collection, treatment, and analysis from external sources, SQL lakes, and cloud environments. Designed and maintained automated dashboards using PowerBI and Excel, emphasizing key performance indicators such as CPM, CTR, and ROI. Created and presented performance reports for both national and international clients, incorporating KPI analysis and storytelling techniques to provide insights and recommendations.
Production Supervisor
7/1/2020 - 8/1/2022

Prepared daily reports consolidating data from various sectors to monitor and study performance indicators. Managed a team of 15 employees to achieve production targets and efficiency indicators. Analyzed historical data to identify bottlenecks and proposed corrective actions, leading to a 12% increase in monthly results in 2021. Developed new document formats and created dynamic spreadsheets to improve the organization of collected data.