earlyann
I am a Cross-functional Full Stack Data Analyst, always playing in Python. Contact me here if you want to collaborate. early.ann.morgan@gmail.com
Minneapolis, MN
Pinned Repositories
anonymized_loan_repayment_predictions
Using Tableau to explore the data and a CatBoost classification model to predict loan defaults
bank_call_campaign
Using machine learning to predict the success of a call campaign
CodeLlama_13B_Chat_Interface_w_Langchain_Repo
Using the CodeLlama 13B Instruct model to chat with a GitHub repo - LangChain
CryptoClustering
K-means clustering of different crypto-currencies by returns.
Energy_Consumption_Forecasting
XGBoost forecasting model leveraging hourly historical data to predict future energy usage patterns.
Google_jobs_analysis
Using SERP API Google job search results and Python's Natural Language Toolkit for api fed job searching.
grocery_market_basket_analysis
Using Apriori algorithm for association rules, segmenting and consumer suggestions
horse_survival
Multiclass classification models to determine if a horse will live based on gathered health features
Instagram_data_modeling
Turning Instagram data csv files into Postgres and SQLite databases
youtube_api_airflow
An Apache Airflow DAG that digests Google's YouTube API to explore top videos across 5 countries. The final product is a Tableau dashboard..
earlyann's Repositories
earlyann/CodeLlama_13B_Chat_Interface_w_Langchain_Repo
Using the CodeLlama 13B Instruct model to chat with a GitHub repo - LangChain
earlyann/Instagram_data_modeling
Turning Instagram data csv files into Postgres and SQLite databases
earlyann/anonymized_loan_repayment_predictions
Using Tableau to explore the data and a CatBoost classification model to predict loan defaults
earlyann/bank_call_campaign
Using machine learning to predict the success of a call campaign
earlyann/CryptoClustering
K-means clustering of different crypto-currencies by returns.
earlyann/Energy_Consumption_Forecasting
XGBoost forecasting model leveraging hourly historical data to predict future energy usage patterns.
earlyann/Google_jobs_analysis
Using SERP API Google job search results and Python's Natural Language Toolkit for api fed job searching.
earlyann/grocery_market_basket_analysis
Using Apriori algorithm for association rules, segmenting and consumer suggestions
earlyann/horse_survival
Multiclass classification models to determine if a horse will live based on gathered health features
earlyann/tv_show_recommender
A machine learning model that predicts what shows you would like based on feature input, using DistillBERT and XGBoost
earlyann/youtube_api_airflow
An Apache Airflow DAG that digests Google's YouTube API to explore top videos across 5 countries. The final product is a Tableau dashboard..
earlyann/al_folio_fork
A beautiful, simple, clean, and responsive Jekyll theme for academics
earlyann/Bank-Churn-Classification
Ensemble classifier to identify churned customers. Using Great Expectations to validate data.
earlyann/Belly_Botton_Biodiversity_Dashboard
A dashboard look at bellybutton biodiversity.
earlyann/Crowdfunding_ETL
A pipeline breaking down a spreadsheet of crowdfunding data into 3NF and building a PostgreSQL database from it.
earlyann/deep_learning_project
A Keras Sequential neural network classifier
earlyann/Diabetes_Prediction
Kmeans clustering of health predictors
earlyann/e-com_customer_categorization
Using a k-means model to help in analyzing customer patterns.
earlyann/earlyann
earlyann/earlyann.github.io
earlyann/Eco_Analysis
Examining the intersection of CO2 emissions, GDP and population on a global scale.
earlyann/Gym_Climb_Log
A streamlit app that feeds an AWS RDS database so I can keep track of my climbing progress at the local gyms.
earlyann/Mars_Web_Scraping
Using BeautifulSoup to scrape news and fact about Mars
earlyann/Mass_shootings_USA
A visualization of the mass shootings in the USA from 1982-2023
earlyann/Monthly_Seismic_Events
Map showing all global earth quakes, their depth and magnitude for the past 30 days.
earlyann/Stock_predictions
Using and comparing Support Vector machine, Random Branch Forest and Easy Ensemble algorithms to predict if a stock will have a positive or negative annual return.
earlyann/Surfs_Up_SQLAlchemy
A project using SQLAlchemy to explore and visualize climate data from Hawaii.
earlyann/UK_Food_Ratings-MongoDB
earlyann/Video_game_sales
Exploration and analysis of worldwide video game sales from 1980-2016
earlyann/Zillow_target_city_analysis