Victor D.
Machine Learning Engineer
Victor has developed a range of applications, including fraud and anomaly detection models, NLP algorithms, and customer segmentation tools. He also has experience deploying these models in various architectures, ensuring they are scalable and efficient.
Before his role as a Machine Learning Engineer, Victor worked in Bain & Company for more than three years, and as a Data Analyst at Quero Educação, where he leveraged machine learning and data analysis to generate valuable business insights. His combination of technical expertise and practical experience makes him a valuable asset in the field of machine learning.
Main expertise
Machine Learning5 years
Python7 years
SQL7 years
Databricks3 yearsExperience4
Senior Data Scientist / Machine Learning Engineer
- Contributed to projects focused on applications for pricing optimization, customer retention, fraud detection, and causal impact analysis.
- Developed solutions using Python, SQL, and Big Data tools, including Databricks, Teradata, Snowflake, and PySpark.
Senior Data Scientist/Machine Learning Engineer
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Worked in different projects with applications for pricing optimization, customer retention, fraud detection and causal impact analysis.
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Develop with Python, SQL and Big Data tools (Databricks, Teradata, Snowflake, PySpark).
TeradataMachine Learning
Data Scientist
- Improved NPS and retention of digital services by enhancing chatbot functionality.
- Applied NLP techniques along with data analysis and machine learning to identify critical issues in the chatbot and recommend fixes.
- Developed solutions using Python, SQL, and NLP libraries such as NLTK and Hugging Face.
Machine LearningData Analyst
- Analyzed data for a business unit that generated over 4 million reais in its first semester, providing insights for strategic decisions.
- Collaborated in the creation of data-driven products by applying machine learning techniques, data analysis, and statistical methods.
Machine LearningAssessments
Engineering excellence
Victor’s overall performance in a 90-minute live technical assessment ranks in the top 25% of vetted Machine Learning Engineers at Proxify.
Education
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