Daniel Da Costa

Committed and creative engineering graduate, passionate about innovation, technology, and out-of-the-box solutions. Harnessing the power of data science in the service of humanity.

As a Data Scientist with 3+ years of experience, I have honed my skills in AI, ML, data analysis and engineering. Currently a Data Analyst at Intel Corporation, where I utilize my data science skills and cloud services knowledge to optimize and monitor the performance of AI workloads running on Intel’s Max and Flex GPUs, as well as the AI Accelerator GAUDI. With a Master’s degree from the University of Southern California and Ecole Centrale Paris, I possess a strong foundation in both theoretical and applied aspects of data-driven solutions.

Programming Languages: Python (Pandas, Numpy, PySpark), R, SQL (PostgreSQL, MySQL, SQL Server), NoSQL (MongoDB), JavaScript, C/C++

ETL Tools: Airflow, AWS Step Functions, AWS Glue, Amazon Elastic MapReduce

Database: PostgreSQL, MySQL, SQL Server, MongoDB

Cloud Computing: Amazon Web Services

Other Tools: Power BI, Amazon QuickSight, Tableau, Apache Spark, Pytorch, TensorFlow, Terraform, Gitlab CI/CD, Docker, Git