Iuri G.Data Scientist
Skills
Graduated in Mechatronics Engineering from the Federal University of Uberlândia (UFU) with a robust interest in Data Analysis and its capacity to reveal diverse insights through perspective shifts. Commenced professional journey in 2020, concentrating on database structuring and modeling, which cultivated a strong proficiency in SQL, Machine Learning, and ETL processes, particularly utilizing Python-Pandas. Engaged in various courses and challenges to bolster these skills for personal development. In 2022, transitioned into a Data Scientist role, focusing on automating ETL processes, leveraging mathematical and statistical expertise to formulate and refine metrics, KPIs, and automated dynamic Excel spreadsheets. Eventually progressed to developing dashboards with Power BI, migrating existing Excel-based solutions to this platform. This position enhanced knowledge in KPI management, integrating data into an Azure SQL Server cloud environment with a particular emphasis on Big Data and Data Warehouse modeling and storage methodologies. Continuously pursues learning opportunities, thrives on complex challenges, and remains enthusiastic about exploring new areas and technologies to advance professional growth.
Data Scientist
3/1/2022 - Present
Developed data pipeline processes for the automated application of business rules and created a dynamic spreadsheet system, reducing task completion time from 5 days to just 10 minutes. Enhanced product selection, classification, and removal rules through sophisticated mathematical and statistical models, achieving tool accuracy above 85%. Implemented a Natural Language Processing (NLP) model to standardize product names and automate the assignment of internal product codes, previously conducted manually by customers.
Designed and optimized Power BI dashboards to handle massive datasets for comprehensive and fluid business analysis, supporting decisive decision-making. Established Big Data pipelines using Microsoft Data Factory to load customer databases into a SQL Server environment, facilitating data consumption by dashboards. Developed product segmentation methods to classify price groups and sales potential, thus optimizing inventory purchases by eliminating unnecessary units. Created detailed Inventory Analyses to classify products based on sales performance, automating the transfer of surplus inventory to branches for better utilization.Data Analyst
3/1/2020 - 10/1/2021
Developed automated spreadsheets using Microsoft Excel, seamlessly linked to a database to enhance efficiency. Acquired expertise in database modeling and management specifically tailored for the HR sector, optimizing data organization and accessibility.
Mechatronics, Robotics and Automation and Control Engineering at Federal University of Uberlândia
2017 - 2023
Statistical Tests with Python in Data Science. at Alura
9/1/2021Python for Data Science and Machine Learning. at Udemy
3/1/2020
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