Lourenço L.Data Scientist
Skills
Economist with extensive expertise in Python and core data science libraries, including pandas, numpy, sklearn, and keras. Possesses strong proficiency in SQL and Power BI, and has experience in developing tools and automating processes using Python. Proficient in constructing and implementing various machine learning models, such as K-means clustering, decision trees, linear regression, and logistic regression. Well-versed in leveraging cloud services, including AWS, Azure, and GCP. Recognized for exceptional logical reasoning skills, a self-taught approach to learning, sociability, a results-driven mindset, and a high capacity for effective delivery.
Senior Data Scientist
5/1/2022 - Present
Developed and implemented a cluster of 16 algorithms for real estate price prediction. Built the entire cloud architecture by integrating AWS and GCP, enabling models to serve outputs through an API. Restructured the data sector by migrating storage to the cloud and implementing data quality pipelines. Demonstrated technical expertise in PySpark and Python, with extensive work on AWS S3, EC2, Azure DevOps, Azure Pipelines, and PostgreSQL. Utilized machine learning frameworks such as XGBoost and maintained collaborative codebases using Git. Developed web services using Django and Flask, and containerized applications with Docker.Data Scientist
11/1/2021 - 5/1/2022
Developed and implemented a stock recommendation model for B3 utilizing Alternating Least Squares (ALS) matrix factorization techniques and Principal Component Analysis (PCA) for variable analysis. Created a churn prediction model for a supermarket player using XGBoost to identify customers likely to cease purchasing, and developed a product sales forecast model employing Long Short-Term Memory (LSTM) networks. Assisted in the development and implementation of an anti-fraud model for a major e-commerce platform. Utilized technical expertise in Pyspark, Python, Keras, AWS S3, EC2, PostgreSQL, XGBoost, LSTM, ALS, Git, Django, and fraud detection systems.Data Analyst
11/2/2020 - 11/1/2021
Automated the generation of product lists for the homepage, incorporating a product ranking system using the Interquartile Model to identify optimal opportunities. Designed and implemented dashboards and key performance indicators (KPIs) for comprehensive performance analysis. Developed a machine learning algorithm employing the LightGBM model to optimize site sales, resulting in a 15% increase in sales by aiding account managers in product selection. Constructed a complete data pipeline to support the commercial area's operations. Demonstrated technical expertise in Data Science, Python, LightGBM, Excel, SQL, and PowerBI.Business Analyst
6/2/2020 - 11/2/2020
Implemented a risk/return model (CAPM) for economic feasibility analysis of projects. Established a BI department, overseeing the entire process of building the Data Warehouse, executing ETL processes, constructing OLAP systems, and deploying BI tools using PostgreSQL as the relational database. Developed and implemented a machine learning model (Linear Regression) to price assets in the LATAM market. Enhanced expertise in Machine Learning, Python, Data Analysis, Excel, and PostgreSQL.
Economics at State University of Londrina
2014 - 2019
Python Training at Alura Cursos Online
1/2/2020Data Science Training at Alura Cursos Online
10/2/2019
Lourenço is available for hire
Hire Lourenço L.
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