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merrillm1/README.md

Hi 👋, I'm Matt!

I've found incredible overlap between my career as a teacher and my studies to become a data scientist and I've been lucky to benefit from both to be where I am today.

My teaching career gave me a wealth of experience understanding problems and dissecting possible solutions, all for making it accessible for others by way of a compelling story. My work as a data scientist has given me tools for solving problems that enhance my ability to find patterns and draw insight, all for the purpose of creating actionable steps towards change. Data science, like in teaching, requires the solution be delivered in a way everyone can understand and get behind.

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In this repository you'll find work I've completed through the career track program I recently graduated from as well as a few more recent projects. A good way of selecting which may be of interest is by visiting my website, where you can select projects by keyword. I am currently finishing up an internship with Fellowship.ai and will be getting myself back out there in the job market. If you are interested in parterning up on a project or would like to discuss employment opportunities I am open to either.

Skills :

  • Python, R, SQL, Machine Learning (supervised and unsupervised), Data Wrangling, Exploratory Data Analysis, Feature Engineering, Feature Selection, Data Visualization, Predictive Modeling, Recommendation Engines, User Insight, Time Series Analysis, Classification and Clustering.

  • 👨‍💻 My portfolio website can be found here

Profiles :

https://www.linkedin.com/in/matthew-merrill-data-scientist/ https://www.datacamp.com/profile/mattmerrill94 https://www.kaggle.com/matthewmerrill1

Top Langs

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  1. Olist_Recommender_System Olist_Recommender_System Public

    Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.

    Jupyter Notebook 3 5

  2. Predicting_Hotel_Cancellations Predicting_Hotel_Cancellations Public

    Created prediction algorithm for determining if a customer will cancel at the moment of booking. After eliminating numerous data leakage sources, we achieved a 90% AUROC with a catboost classificat…

    Jupyter Notebook 1

  3. OMSCS_Computational_Analytics_EC_Project OMSCS_Computational_Analytics_EC_Project Public

    Identified the most important factors contributing to user adoption for a product. Achieved a 96% accuracy with an SVM model, and found user length and opting into the mailing list as the most sign…

    Jupyter Notebook

  4. Ultimate_Challenge Ultimate_Challenge Public

    Predicted rider retention for a taxi service and identified most significant factors that contributed to it. Achieved an 80% accuracy with a catboost model, which was chosen for its interpretability.

    Jupyter Notebook

  5. merrillm1.github.io merrillm1.github.io Public

    My portfolio website. Created using the academic template through wowchamy.

    HTML

  6. Mini_Projects Mini_Projects Public

    A repository of projects completed through the Springboard career track program.

    Jupyter Notebook 1