Vinícius C.Data Scientist
Skills
Data Scientist with two years of expertise in data analysis and solution development, specializing in programming languages such as Python, R, and SQL to efficiently collect, clean, transform, and visualize data. Proficient in creating machine-learning and data science solutions using cloud platforms like GCP and Azure, with a strong understanding of MLOps for scalable and efficient model deployment.
Holds a Bachelor's and Master's degree in Electrical Engineering, with a concentration on Smart Grids. Academic experience has fostered advanced analytical skills and programming knowledge, facilitating a comprehensive grasp of methodologies and techniques essential in data analysis and data science solution development.
Data Scientist
1/1/2022 - 11/1/2023
Applied advanced statistical techniques to extract insights from data in the field of Digital Marketing. Developed and maintained a computer vision algorithm for monitoring and validating media insertions of brands/products on TV, generating performance and reach reports. Managed purchase propensity algorithms to segment customers with high conversion potential. Engineered and maintained anomaly detection algorithms to monitor atypical behaviors, mitigate risks, and identify causal relationships between variables. Conducted sentiment analysis through NLP on social media data to gauge public opinions toward a brand/product. Built predictive models to estimate key business metrics such as sales, leads, number of accesses, and new users, aiding strategic planning. Developed scoring models to measure the effectiveness of advertising campaigns. Utilized Google Cloud Platform tools, specifically BigQuery, Cloud Schedule, Cloud Run, Cloud Storage, Compute Engine, and Cloud Pub/Sub, to collect, clean, analyze, and interpret data, while effectively executing projects.Data Scientist
10/1/2021 - 1/1/2022
Oversaw the development of a predictive monitoring system and data analysis for industrial machinery and equipment, utilizing ETL techniques, machine learning, data mining, and data analytics. Achieved efficient maintenance strategies through periodic reports. Employed tools and software pertinent to Industry 4.0 and the Internet of Things, including SQL for data collection, storage, and processing. Applied advanced machine learning algorithms and artificial intelligence methodologies. Leveraged extensive data mining techniques for effective predictive maintenance solutions.
Electrical and Electronic Engineering at Unileste - Catholic University Center of East Minas Gerais
2015 - 2019Smart Grids - Planning, Analysis and Operation at Federal University of São Carlos
2020 - 2022
Power BI Desktop: Building My First Dashboard at Alura
12/1/2022Generative Artificial Intelligence: Midjourney and ChatGPT at Alura
4/1/2023Text Analysis and Mining + Emotion Classification (NLP) at Udemy
3/1/2023Dashboard with Power BI: Visualizing Data at Alura
3/1/2023Python Project for Data Science at Coursera
3/1/2023PREDICTIVE MODELS IN DATA: FRAUD DETECTION at Alura
2/1/2023Python for Data Science, AI & Development at Coursera
2/1/2023Data Science Methodology at Coursera
1/1/2023Google Cloud Fundamentals: Core Infrastructure at Coursera
1/1/2023Tools for Data Science at Coursera
12/1/2022Statistics with R: Frequencies and Measures at Alura
12/1/2022Multilabel Text Classification: Multiple Contexts in NLP at Alura
12/1/2022Google Analytics for Beginners at Google Analytics Academy
11/1/2022Google Analytics Certification at Google Digital Academy
11/1/2022Transformers: Text Classification for NLP Using BERT at Linkedin
11/1/2022Machine Learning: Introduction to Recommendation Systems in Python at Alura
11/1/2022
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