Relevant skills: Programming | Python, Java, Html/CSS, Javascript, SQL, R, Pandas, NumPy, Git, JUnit, Jupyter
Technologies | Windows, Mac, Adobe Creative Cloud (Photoshop, Illustrator, XD, InDesign), Excel, PowerPoint, Word, Figma, Sketch
Machine Learning Classification
Implemented neural nets for regression, handwritten digit classification, language identification using Python, PyTorch, TensorflowPython Pytorch Tensorflow
Airbnb Host Pricing Model
Predicted NYC rental prices and optimization pricing strategy for Airbnb Hosts categorized by private/shared room, entire home/apartment. Approached through data cleaning, data analysis, decision tree classification, neural networks (MLP classifier, Keras)Python R Pandas
Spotify Product Recomendation
Spotify features to promote its mission that it isn’t simply about playing music; it’s about self discovery, curation, and social interactions. Also, recommended future features.UI/UX Design Html Javascript CSS
Transport
Created a userspace implementation Socket that implements a TCP protocol in Python. Executed and designed a network simulator and Python TCP/IP stack.Python TCP/IP
Indigogo Kickstarter Classification and Success Prediction Model
Predicted probability of success given categories, title length, feedback, pledge/goal amount using Python and PandasPython Pandas
Spotify user interface recomendation
A new light and dark feature to its user interface for both their mobile and web application platform.Adobe Creative Cloud Illustrator Photoshop
"Munchie" Food Recipe Mobile Application
Created a web/mobile interface to display interactions and documentaries across users to share/find recipes using Figma, Sketch.Figma Sketch UI/UX
"Triplogs" Travel Blog Mobile Application
Created a travel blog/diary interface to track travel and map destinations using Figma, Sketch.Figma Sketch UI/UX
Doordash delivery time prediction
To make an accountable recommendation on predicting and improving delivery time, I focused on the life cycle of a delivery order in order to create features that could have strong predictive power. I also used data analysis in order to perform feature engineering for a better model performance on the training and test set.Python NumPy Scikit-learn