Jonah Kaplan
I’m a Data Scientist based out of San Francisco with a deep interest in computer vision and all things tech. I made this site to highlight my projects I worked on as I’ve taught myself computer vision. I’ve also included other, non CV, projects just for kicks.
Computer Vision Self-Teaching
My introduction to computer vision began by following the PyImageSearch guide. I’ve also spent time digging into resources supplied by Pytorch and FastAI. Overall, I’ve studied and have a working knowledge of:
- Keras, TF, PyTorch
- Object Detection
- Image Classification
- CV Face Applications
- Deep Learning for CV
See some sweet content
- COVID-19 Mask Usage Classifier: Trained and deployed binary classification model on neighborhood activity to understand the prevelance of mask wearing throughout the COVID-19 pandemic.
- Kaggle Project: Quivk CV Model Evaluation: I wanted to further develop my PyTorch skills and do some quick evaluation on how configurations affect our model performance.
- Album Cover Mosaic Generator: R project which generates album cover mosiacs off of your music taste.
- Real ID Helper: GCP trained image classifier to identify license compliance with Real ID regulation.
- Music Information Retreival Visualization: Utilized machine learning MIR tools (Librosa, Spleeter, Scikitlearn, Spotify API), LED’s, and an arduino to auto generate music light shows.
Interests + About
🎓:
- UCLA! (Go Bruins!)
👨💻:
- Uber Elevate: Data Scientist on drone delivery and system simulation
- Uber Freight: Data Analyst on marketplace dynamics and expansion strategy
- DroneBase: Jack-of-all-trades on analytics, product, and marketing
Tech Stack:
- Python ⭐⭐⭐
- Java ⭐
- SQL ⭐⭐⭐
- Spark ⭐⭐⭐
- Computer Vision ⭐⭐
- Machine Learning ⭐
- AWS ⭐⭐
- GCP ⭐⭐
- Data Pipelines / ETL Processing ⭐⭐⭐
- R ⭐⭐⭐
- Data Visualization ⭐⭐⭐
Interests:
- 🧗 Rock Climbing
- 🚴 Cycling
- 🏃♂️ Running
- 🏞️ Outdoors
- 👨🍳 Cooking
- 🎿 Skiing
- 🎵 Music
