Projects:Capstone Labs Project: Nuclear Fuel Cycle November, 2019 to January, 2020• Objective: Identify companies associated with nuclear trade based on publicly available Russian trade data.• Used AWS and PySpark to perform EDA, data wrangling, and modeling of a 174 GB data set (65M rows by 147 columns).• Used bisecting k-means for clustering and LDA for topic modeling of text data.• Collaborated with a team of 3 other data science students.NBA Career Longevity Predictor October 2019 to October 2019• Participated in cross-functional team of 8 students for week long build week.• Created a model to predict how many years an NBA player will play based on game stats.• Used XGBoost Regressor and hyperparameter tuning to get R-squared score of 0.85 and mean absolute error of 1.44.• Used web scraping to acquire player stats and images, and created player database for the API.Twitoff June, 2019 to June, 2019• Beginning-to-end ETL pipeline.• Extracted Twitter user data from Twitter API, converted Tweets to word embeddings using Basilica API.• Built logistic regression model to compare user Tweets against a fake Tweet entered by the end user.• Created web app using Flask and deployed on Heroku.Tanzania Water Pump Challenge May 2019 to May 2019• Week long project to demonstrate beginning-to-end supervised learning skills, as well as an ability to communicate insights learned from the process.• Preformed exploratory data analysis, data cleaning, feature engineering, and modeling using random forest.• Published blog post detailing findings with visualizations.Data Storytelling Project April 2019 to April 2019• Wrote a blog post analyzing whether NFL draft round affected player career earnings.• Acquired, cleaned, and merged the data.• Created annotated visualizations to complement blog post.

• Provided daily feedback and issue resolution of all curriculum through slack help channel or code review.• Mentored 6-8 students on how to learn effectively and solve programming problems.• Reviewed student code and provided detailed feedback on areas of improvement.• Facilitated daily stand-up meetings to build camaraderie, facilitate sharing of ideas and work progress, and provide guidance for that week’s study material.

• Provided daily feedback and issue resolution of all curriculum through slack help channel or code review.• Mentored 6-8 students on how to learn effectively and solve programming problems.• Reviewed student code and provided detailed feedback on areas of improvement.• Facilitated daily stand-up meetings to build camaraderie, facilitate sharing of ideas and work progress, and provide guidance for that week’s study material.

• Proofread and edited documents checking for spelling, grammar, punctuation, and sentence structure errors.• Worked with U.S. and international clients.• Provided feedback on writing style, tone, and flow.

• Tracked shipments from pickup to delivery, and provide timely communication to customers regarding delays. • Identified and address potential delays, and communicated any mechanical breakdown issues to the customer.• Trained new hires. Also assisted with developing a comprehensive training strategy.• Bid on freight.

• Oversaw the loading, unloading, and storage of food grade product.• Managed a crew of 4-6 employees and trained new employees in proper safety procedures.• Developed improved processes for the safe removal of product from rail cars.