Igor A.Data Scientist
Skills
A profound intrigue in programming and its possibilities ignited a passion for technology. This dedication encompasses both professional and personal endeavors, with substantial engagement in programming, data analysis, and artificial intelligence projects. Continuously seeking to stay abreast of advancements in these fields is a core commitment.
The primary driver is the allure of complex challenges, offering immense satisfaction upon resolution. This pursuit of demanding tasks reveals a proclivity towards problem-solving and achievement.
Proficiency spans various tools and languages including Python, C, C#, C++, Java, JavaScript, PHP, HTML, and R. Database management skills involve SQL, with expertise in PL/SQL and T-SQL. Machine learning specializations include supervised and unsupervised learning, reinforcement learning, neural networks, convolutional neural networks, recurrent neural networks, and natural language processing.
Analytical and visualization competencies are demonstrated through adept use of Power BI and DataStudio. Workflow management and automation are managed using Airflow, Flask, Selenium, OpenMP, and MPI. Version control and collaborative work are facilitated through platforms like Github and Databricks, complemented by containerization via Docker and operations in Linux environments. BI and marketing automation tools utilized include Pentaho, Mixpanel, Oracle Responsys, Braze, and ActionIQ.
Experience extends into the Hadoop ecosystem, managing components such as HDFS, Yarn, MapReduce, Hive, Pig, Spark, and Sqoop. Cloud computing expertise covers GCP's AutoML, BigQuery, Compute Engine, Storage, Cloud Build, Data Fusion, and Functions, as well as AWS services like S3, Athena, Glue, EMR, EC2, and Lambda.
Developer
1/1/2023 - Present
Served as a developer for a leading AI company, focusing on solving complex coding problems to enhance AI models. Developed proficiency in Python and C++, with extensive work on TensorFlow and PyTorch for building and optimizing neural networks. Demonstrated skills in data processing using Pandas and NumPy, and leveraged Hadoop and Spark for handling large datasets. Ensured collaborative code maintenance using Git and GitHub, and utilized Docker for containerization to enable scalable deployment of applications. Also applied knowledge of cloud platforms such as AWS and GCP to build and manage AI infrastructure.Data Scientist
1/1/2022 - Present
Developed proficiency in creating comprehensive model analyses for enterprise-wide client monitoring on a daily basis. Demonstrated expertise in intelligent segment creation to support the CRM team's marketing campaign initiatives.Growth / Martech Analyst
5/1/2021 - 1/1/2022
Developed expertise in implementing various Martech tools, specifically a Customer Data Platform (CDP) and marketing automation tools, aimed at enhancing CRM capabilities. Contributed to growth area projects by providing in-depth product knowledge and support with internal tools. Facilitated seamless communication across different teams, closely collaborating with the Product Ops team to ensure project alignment and operational efficiency.Technology Consultant
10/1/2020 - 5/1/2021
Managed the migration of on-premise environments to Google Cloud Platform (GCP), focusing on seamless integration and minimal downtime. Provided ongoing support, maintenance, and continuous improvement of cloud infrastructure. Developed expertise in cloud technologies, infrastructure-as-code, and automation tools. Utilized Terraform and Ansible for efficient deployment and configuration management. Implemented CI/CD pipelines using Jenkins, ensuring streamlined application deployments and updates. Enhanced system performance and reliability through comprehensive monitoring with tools such as Prometheus and Grafana. Leveraged Kubernetes for orchestration and container management, improving scalability and resource utilization. Demonstrated strong problem-solving skills and a proactive approach to optimizing cloud environments.Data Scientist
8/1/2019 - 10/1/2020
Specialized in data engineering with a focus on creating ETLs to facilitate data use across various departments. Provided crucial assistance in activating marketing campaigns through email, push notifications, and SMS. Developed insights and dashboards to evaluate the effectiveness of these campaigns. Maintained and improved machine learning algorithms specifically designed for customer segmentation, thereby enhancing the accuracy and performance of targeted marketing efforts.IT Intern
10/1/2017 - 8/1/2019
Gained extensive experience in internal software support, maintenance, and enhancements leveraging technical expertise in VBA, .NET, and Python. Developed and refined processes for optimizing code performance and reliability across various internal applications. Focused on automating repetitive tasks and improving efficiencies within existing systems. Utilized .NET for developing and maintaining robust software solutions, while VBA was implemented to streamline and enhance Excel functionalities for various departments. Python was employed for more complex data analysis and automation, contributing significantly to improved reporting and data accuracy. The role required a thorough understanding of system architecture, debugging techniques, and performance tuning to ensure the smooth operation of critical business functions.
Technology in Computer Engineering at Mauá Institute of Technology
2015 - 2019Artificial Intelligence at Mauá Institute of Technology
2020 - 2021
Data Engineering, Big Data, and Machine Learning on GCP at Coursera
10/1/2020
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