Email: jsycoff@berkeley.edu
Linkedin: www.linkedin.com/in/jacob-sycoff
Master of Information and Data Science
Univeristy of California, Berkeley
Graduation Date: Summer 2021
Bachelor of Arts
Univeristy of California, Berkeley
Major: Global Studies
Focus: Middle East and Arabic
Graduation Date: Fall 2019
Class of 2020
- Natural Language Processing with Deep Learning
- Language: Python
- Packages: Tensorflow/keras, scikit-learn, Pandas, NumPy, Matplotlib
- Technologies: Google Cloud, Google Colaboratory, Jupyter, Github, Linux Command Line/Bash Terminal
- Applied Machine Learning:
- Language: Python
- Packages: Tensorflow/keras, scikit-learn, Pandas, NumPy, Matplotlib
- Technologies: Google Cloud, Google Colaboratory, Jupyter, GitHub, Linux Command Line/Bash Terminal
- Statistics for Data Science:
- Language: R
- Packages: dplyr, ggplot2, tidyr, lmtest
- Technologies: RStudio, Github
- Experiments and Causal Inference:
- Languages: R, Python
- Packages:
- R: dplyr, ggplot2, tidyr, lmtest, data.table
- Python: Pandas, NumPy, MatplotLib, Altair
- Technologies: RStudio, Google Colaboratory, Github, Qualtrics
- Data Visualization:
- Languages: Python, JavaScript, HTML, CSS
- Packages:
- JavaScript: Vega-Lite
- Python: Altair, Matplotlib, Pandas
- Technologies: Tableau, Observable Notebooks, Google Colaboratory, Flask, etc
- Behind the Data: Humans and Values:
- Capstone:
- Language: Python
- Packages:
- Technologies: Google Cloud, Amazon Web Services, Google Colaboratory, Github, etc
- Research Design and Applications for Data and Analysis:
- Fundamentals of Data Engineering:
- Languagse: Python, SQL
- Packages:
- Technologies: Google Cloud, Google BigQuery, Google Colaboratory, Jupyter, Flask, PySpark, Git, Docker Containers, Linux Command Line/Bash Terminal, HDFS(Parquet, Presto, Spark, Hive, Kafka)
- Introduction to Data Science:
- Language: Python
- Packages: datascience
- Technologies: jupyter, linux, Git, Linux Command Line/Bash Terminal