Pinned Repositories
a-memme
arlington_crime_density
Exploration, analysis and forecasting of crime density in Arlington VA from 2016-2024
Credit_Risk_Analysis
Comparing sampling techniques and classification algorithms to predict credit risk
Customer_Churn_and_CLTV
BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business
predicting_crime_pca
Comparing the use of original data vs PCA in multiple regression. Analysis also showcases how principal components can be transformed back to their original vector space after model fitting for descriptive purposes
revenue_prediction_imputation
Random forest regression + ARIMA timeseries modeling to impute metric values and forecast revenue for reporting purposes.
snap_dynamic_scheduling
Auto-ARIMA timeseries forecasting in combination with PELT changepoint detection to predict social media viewership performance and identify major changes in performance trends. Models are deployed into a streamlit webapp for analytical functionality.
snapchat_correlation_analysis
Utilizing Python and R to perform statistical analyses on real-world snapchat performance data to discover how various metrics relate to viewership
stock_analysis
Analyzing annual stock trends of Daqo New Energy Corp (NYSE :DQ) in 2017/2018 using VBA
Text_Analysis_Reddit
Tokenization/Lemmatization vs keyBERT algorithms to analyze keywords and infer top performing topics on a subreddit of choice. Data is accessed via Python Reddit API Wrapper (PRAW).
a-memme's Repositories
a-memme/Customer_Churn_and_CLTV
BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business
a-memme/snap_dynamic_scheduling
Auto-ARIMA timeseries forecasting in combination with PELT changepoint detection to predict social media viewership performance and identify major changes in performance trends. Models are deployed into a streamlit webapp for analytical functionality.
a-memme/arlington_crime_density
Exploration, analysis and forecasting of crime density in Arlington VA from 2016-2024
a-memme/Credit_Risk_Analysis
Comparing sampling techniques and classification algorithms to predict credit risk
a-memme/snapchat_correlation_analysis
Utilizing Python and R to perform statistical analyses on real-world snapchat performance data to discover how various metrics relate to viewership
a-memme/stock_analysis
Analyzing annual stock trends of Daqo New Energy Corp (NYSE :DQ) in 2017/2018 using VBA
a-memme/a-memme
a-memme/Amazon_Vine_Analysis
a-memme/competitor_analytics_scrape
ETL pipeline creation, utilizing selenium web browser for scraping snapchat desktop UI, pushing data into a g-sheet database and loading into reporting
a-memme/Cryptocurrencies
a-memme/Customer_Churn
a-memme/Mapping_Earthquakes
Building an interactive earthquake map with Leaflet
a-memme/Movie_Data_ETL
Creating a data pipeline with movie-rating data - loading into a postgreSQL database.
a-memme/predicting_crime_pca
Comparing the use of original data vs PCA in multiple regression. Analysis also showcases how principal components can be transformed back to their original vector space after model fitting for descriptive purposes
a-memme/revenue_prediction_imputation
Random forest regression + ARIMA timeseries modeling to impute metric values and forecast revenue for reporting purposes.
a-memme/Text_Analysis_Reddit
Tokenization/Lemmatization vs keyBERT algorithms to analyze keywords and infer top performing topics on a subreddit of choice. Data is accessed via Python Reddit API Wrapper (PRAW).
a-memme/election_analysis
Analyzing sample election results
a-memme/kickstarter_analysis
Analyzing theatre campaign data and providing insights on financial performance using Microsoft Excel
a-memme/Kiva_Exploratory_Analysis
Exploratory analysis of a non-profit crowdfunding organization using Python and Tableau
a-memme/Mapping_Earthquakes_Original
a-memme/MechaCar_Analysis
Performing multiple regression to predict fuel efficiency (MPG) on an energy-efficient car model
a-memme/Mission-to-Mars
a-memme/NYC_Bikesharing_Analysis
Exploratory analysis of NYC bike sharing data with Tableau
a-memme/Pewlett-Hackard-Analysis
Leveraging postgreSQL to organize data and determine which employees from a large company's database are up for, or close to, retirement based on their age and tenure.
a-memme/Plotly_Bacteria
a-memme/Plotly_Bacterial_Beef
a-memme/PyBer_Analysis
a-memme/school_district_analysis
Using Python3, Pandas, and Jupyter Notebook
a-memme/surf_shop_analysis
a-memme/World_Weather_Analysis