ryankoul / ryankoul.github.io Goto Github PK

👨‍💻 Background

• Studied economics 📈 and philosophy 📜 in college
• While there I learned to write and do math, but not code, so most economics-y jobs were beyond my skill level 📉
• I dove into data science and engineering to upskill and now have familiarity across the data pipeline

📝 Past work

• Medium
• Linkedin

🔥 Passions

• Deep learning
• Clean(er) code
• Hiking
• Space colonization and exploration

🌐 Languages

• Python
• SQL (PostgreSQL, MySQL, SQLite)
• Bash

🤹 Skills

• 🥣 Collecting data via scraping (BeautifulSoup4) or pulling from APIs
• 🧽 Cleaning data via binning, regular expressions and Pandas Profiling
• ⛅ Creating and deploying databases via SQL, Heroku, and/or AWS
• 🔛 Creating and deploying APIs via Flask or FastAPI
• 🔢 Analyzing data via Numpy & Pandas
• 📊 Visualizing data via Matplotlib, Seaborn, Plotly, and/or Altair
• 🤖 Modeling data via feature selection & engineering, Scikit-Learn, Keras, and/or TensorFlow
• 🗣️ Communicating data to technical and non-technical people
• 🌲 Data structures & algorithms

📚 Some favorite books

• The Age of Em - Robin Hanson
• The Elephant in the Brain - Robin Hanson and Kevin Simler
• The Obesity Code - Jason Fung

🎵 Some favorite songs

• Zelda: Ocarina of Time Piano Medley (Extended) Nostalgia Edition - Erik Correll
• Space Song (slowed + reverb) - Beach House
• Blade Runner Blues - Vangelis

💬 Feedback from others

• "within the top tier of high quality problem solvers, leaders, and to call him an employee feels like understating his ability"
• "very intelligent worker who is proactive, methodical and organized in everything he does. He can adapt to and excel in any work environment."
• "best quality is his go git it attitude. He's not afraid to take risks."

📫 Contact

• Email
• LinkedIn