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Hi, I'm Ben

👨‍💻 Who am I?

I am a Lead Data Scientist at Nielsen. I have a Master of Science in Data Science (concentrating in Bioinformatics) and a Bachelor of Science in Computer Science. I am a Data Scientist with experience in data wrangling, cleaning, modeling, analysis, visualization, and machine learning. I am Software Developer with experience in fullstack development, database development, web development, cloud technologies, and ETL processes.

bjhammack

🔭 Technology Stack

                                                                       

🤝 Collaborations?

Interested in collaborating? I'd love to work on a variety of projects with you! My main focuses right now are general machine learning, reinforcement learning, and genetic algorithms, but I'm open to working on anything that interests us both.

📫 Reach out to me on

         

Benjamin Hammack's Projects

baseball-spider icon baseball-spider

Library to scrape baseball data from the web for both hitters and pitchers.

cartpole-genetic-ai icon cartpole-genetic-ai

Using OpenAI's gym environment, I create a basic genetic reinforcement learning model that solves the CartPole-v0 problem with ease.

dog-go icon dog-go

A web scraping project that gathers adoptable dogs in your area and makes them viewable on a simple Django webapp.

enodo-fullstack-challenge icon enodo-fullstack-challenge

Fullstack Engineering Challenge created by Enodo. Details can be read on their repository. This challenge was completed using Flask, Vue.js, Element.js, and SQLite3.

init-project icon init-project

A collection of scripts that assist in easier Python project initialization.

lux-ai-2021 icon lux-ai-2021

Code for submission to the Lux AI competition on Kaggle (https://www.kaggle.com/c/lux-ai-2021).

masters-thesis-alzheimers-detection icon masters-thesis-alzheimers-detection

My masters thesis where I built a model pipeline using a CNN, SVM, and a custom SMOTE oversampling technique to identify and classify Alzheimer's in brain CT scans.

pi-chef icon pi-chef

A little webapp, built in flask, meant to store recipes and display them on a Raspberry Pi with a 7" touchscreen in kiosk mode.

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