Marcus Manos

Job title: 
School of Information

Marcus is a Master of Data Science student with experience in applying Machine Learning & Deep Learning to solve problems across numerous domains. His experience includes: Creating Deep Learning Models for NLP, creating ETL pipelines using big data and cloud computing, creating and presenting dashboards to highlight key relationships, creating SQL reports, scripting, and analyzing data. His tech stack includes: Python (Tensor Flow, Numpy, Pandas, Matplotlib, Seaborn, Altair), Java, SQL, Visual Basic, Excel, Google Cloud Platform, Bash, Git, Hive, Hadoop, Spark, Kafka, Zookeeper.

Research interests: 

 Python, SQL, Visual Basic, APIs, Cloud & HPC Computing, Data Visualization, Databases & SQL, Deep Learning, Geospatial Data, Maps & Analysis, Machine Learning, Natural Language Processing, Text Analysis, Causal inference, Regression Analysis, Time series, Bash or Command Line, Excel, Git or Github