Dylan K. Fernandes

My Programming Experience

I've pursued a variety of different programming subfields.

• Data Science and Machine Learning
• Web Development and Design
• Database Development and Management

I've listed technologies I've worked with, my teaching experience, some courses I've taken, and my portfolio projects down below. For a complete list of my projects, check out my GitHub page.

Data Science and Machine Learning

I found data science and machine learning in my junior year of high school. A friend of mine had been gushing over neural networks for weeks, and he encouraged me to look into it. It led me to take Andrew Ng's Machine Learning course on Coursera. It was my first experience with a MOOC (Massive Open Online Course), and would the first of many that I would take over the next few years.

Courses That I've Taken

• Deep Learning Specialization
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
• Tensorflow in Practice Specialization
  • Introduction to Tensorflow
  • Convolutional Neural Networks in Tensorflow
  • Natural Language Processing in Tensorflow
  • Sequences, Time Series, and Prediction

• Python Programming
  • Data Analysis with Python and Pandas
  • Data Visualization
  • Practical Machine Learning with Python
  • Reinforcement Learning
  • Quantum Computer Programming

Teaching Experience

As the President of the Machine Learning Club At UVA (MLC@UVA), I've taught workshops in Deep Learning and Image Processing.

• Fall 2019 - Autoencoders and CVAE
• Spring 2020 (Planned) - Neural Style Transfer
• Spring 2020 (Planned) - GANs

As the Data Analayst Co-VP for HooThinks Consulting Club at UVA, I taught a series of beginner data analytics workshops to prepare consultants. In Spring 2020, I'll be teaching an intermediate series of workshops.

• Beginner Workshops - Fall 2019
  • Data Visualization (Matplotlib/Seaborn) Notebook
  • Data Analysis (Pandas/Numpy) Notebook
  • Web Scraping (BeautifulSoup/Twitter) Notebook
  • Time Series Analysis (Statsmodels/Prophet) Notebook
  • Machine Learning (Scikit-Learn) Notebook
• Intermediate Workshops - Spring 2020
  • Development Environment Setup (Anaconda/Jupyter/VS Code)
  • Introduction to GitHub (GitHub/Git Bash)
  • Effective Presentation of Data (Matplotlib/Seaborn) Notebooks/Sample Project/Slides
  • Working with APIs (Curl/Postman)
  • Natural Language Processing (Gensim/spaCy) Notebook, Sample Project, and Slides

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Skills Acquired

• Tensorflow
• PyTorch
• spaCy
• Gensim
• Pandas
• Numpy
• Seaborn
• Matplotlib
• Sci-kit Learn
• Statsmodels
• NLTK
• DGL (Deep Graph Learning)
• BeautifulSoup
• Prophet

Projects

Web Development and Design

I joined the web development sub-team of my high school's robotics team during my sophomore year of high school. I wasn't the best at it at first, but I got better with practice. I've grown a lot as a developer since my first year on the team. In my senior year, I was elected as the Lead Web Developer of the team, and led the efforts to construct a new team website.

Skills

• Gatsby
• React
• SASS/LESS
• NodeJS
• Express
• Django
• Flask
• jQuery

Projects

Database Development and Management

I took three semesters of dual-enrolled relational database programming with Oracle in high school. Since then, I've experimented with and used several different types of databases since then, including relational, graph, distributed, and document based databases.

Skills

• Oracle
• MongoDB
• DataStax Graph
• TinkerPop
• Neo4j
• MySQL
• Cassandra
• CouchDB