Cesar M.

Machine Learning/AI Engineer

Business Intelligence Analyst
1/1/2020 - 12/1/2021

Led the development of data strategies and implemented business intelligence solutions using tools such as Tableau, Power BI, and Looker. Spearheaded the design and maintenance of data warehouses utilizing SQL Server, Amazon Redshift, and Snowflake, ensuring data integrity and optimized performance. Applied machine learning models and data analytics using Python and R to provide actionable insights, driving decision-making processes that improved business operations. Managed ETL processes with Informatica and Talend, ensuring efficient data flow and transformation. Oversaw a cross-functional team, fostering collaboration and alignment with business objectives through agile methodologies. Monitored and reported key performance indicators (KPIs), enhancing data visualization and reporting strategies to support senior management. Demonstrated expertise in data governance and compliance, ensuring robust security protocols and quality assurance standards.

founding partner of the company
4/1/2016 - Present

Developed expertise in creating and managing Business Intelligence solutions, with a proficient understanding of SQL for data extraction, manipulation, and reporting. Gained significant experience in designing dashboards and visualizations using Tableau and Power BI, enabling strategic decision-making through data analytics. Utilized Python and R for advanced data analysis, including statistical modeling, predictive analytics, and machine learning algorithms. Demonstrated competence in managing large datasets with Hadoop and Spark, ensuring efficient storage, retrieval, and processing of big data. Facilitated ETL processes using Talend and Informatica, ensuring data integrity and consistency across various sources. Collaborated with cross-functional teams to gather requirements and deliver insights that drive business growth and operational efficiency. Actively engaged in the implementation of data governance frameworks, ensuring compliance with industry standards and regulations. Provided mentorship and guidance to junior analysts, fostering a culture of continuous learning and improvement in data science practices.

Manager of Business Intelligence
12/1/2015 - 12/1/2019

As Manager of Data Science, developed proficiency in advanced statistical analysis, machine learning, and predictive modeling. Led the implementation of big data platforms using Hadoop and Spark, alongside experience in cloud computing services such as AWS and Azure. Utilized Python, R, and SQL extensively for data manipulation and analysis. Demonstrated expertise in tools such as TensorFlow, Keras, and Scikit-learn for building and fine-tuning machine learning models. Guided the team in employing data visualization tools like Tableau and Power BI to transform complex data into actionable insights. Ensured collaborative project management and code maintenance using Jira, Git, and Docker. Spearheaded initiatives that resulted in significant improvements in data quality and decision-making processes through the adoption of best practices in data governance and A/B testing. Developed and mentored a high-performing team, focusing on skill development and fostering a culture of continuous learning and innovation.

Manager of Business Intelligence
12/1/2010 - 11/1/2015

Developed proficiency in SQL, Power BI, Tableau, and Excel to manage and analyze business intelligence data. Led a team responsible for the extraction, transformation, and loading (ETL) processes using Talend and Informatica. Demonstrated skills in building interactive dashboards and reports, enabling data-driven decision-making. Achieved significant insights and efficiencies in data handling through innovative scripting in Python and R. Utilized JavaScript frameworks such as AngularJS, React, and Vue.js to enhance the front-end user experience. Ensured seamless deployment and integration of BI solutions through cloud platforms like AWS and Azure. Maintained collaborative workflows using version control systems such as Git and SVN, and managed project timelines and deliverables with tools like JIRA and Confluence. Promoted best practices in data governance and quality management.

professor
2/1/2004 - 11/1/2010

Served as Professor of Linear Algebra I and II, Computational Mathematical Methods for Physicists, Neural Networks and Deep Neural Networks, and Machine Learning Methods. Developed expertise in teaching complex mathematical and computational theories, while designing and delivering comprehensive course material. Utilized advanced tools and frameworks such as TensorFlow, PyTorch, and scikit-learn to facilitate hands-on learning experiences in machine learning and neural networks. Proficient in leveraging Python and R for statistical computing and developing algorithms. Ensured the integration of practical applications with theoretical foundations, enhancing students' understanding and real-world problem-solving skills. Enabled collaborative learning through the adoption of Jupyter Notebooks and MATLAB for computational mathematics. Led research and development initiatives, guiding students in academic and practical projects, emphasizing the importance of continuous learning and adaptation to new technological advancements in the field.

Computational Physics at State University of Campinas - UNICAMP
1984 - 1990

Statistics at State University of Campinas - UNICAMP
1992 - 1995

Business Intelligence at Massachusetts Institute of Technology - MIT
2002 - 2005

Business Intelligence at Erasmus University Rotterdam
2022 - 2023