fkerimov
Data Analyst with an academic background in Political Science. Enjoys drawing insight from data in diverse fields with Pyhon, R, SQL, and Tableau.
Waterloo, ON
Pinned Repositories
Amazon_Vine_Analysis
Belly_button_biodiversity
Interactive dashboard visualizes belly button bacterial data for each volunteer.
citibike_bikesharing_tableau
Statistical analysis and visualization of NYC Citi Bike bikesharing data for August 2019 using Tableau
Credit_Risk_Analysis
Credit risk analysis by using imbalanced-learn and scikit-learn libraries to build and evaluate machine learning models
Cryptocurrencies
Analysis and classification of the traded cryptocurrencies on the cryptocurrency market using unsupervised machine learning.
Election_Analysis
MechaCar_Statistical_Analysis
Statistical analysis to support evidence of trouble in the manufacturing process and prediction of significant factors affecting variance in MPG using linear regression
Movies-ETL
Automated ETL pipeline. In this application, it takes data about movies from Wikipedia, movie metadata from Kaggle, and MovieLens rating data and performs the ETL process by adding the data to a PostgreSQL database
Pewlett-Hackard-Analysis
Analysis of employee database that determines the number of retiring employees and identifies employees eligible for the mentorship program using SQL queries.
Spotify_Analysis
Analysis of features impact the popularity index of any given song on Spotify and visualize the outcomes. Key tools: Python(pandas), Jupyter Notebook, Tableau
fkerimov's Repositories
fkerimov/Amazon_Vine_Analysis
fkerimov/Belly_button_biodiversity
Interactive dashboard visualizes belly button bacterial data for each volunteer.
fkerimov/citibike_bikesharing_tableau
Statistical analysis and visualization of NYC Citi Bike bikesharing data for August 2019 using Tableau
fkerimov/Credit_Risk_Analysis
Credit risk analysis by using imbalanced-learn and scikit-learn libraries to build and evaluate machine learning models
fkerimov/Cryptocurrencies
Analysis and classification of the traded cryptocurrencies on the cryptocurrency market using unsupervised machine learning.
fkerimov/Election_Analysis
fkerimov/MechaCar_Statistical_Analysis
Statistical analysis to support evidence of trouble in the manufacturing process and prediction of significant factors affecting variance in MPG using linear regression
fkerimov/Movies-ETL
Automated ETL pipeline. In this application, it takes data about movies from Wikipedia, movie metadata from Kaggle, and MovieLens rating data and performs the ETL process by adding the data to a PostgreSQL database
fkerimov/Pewlett-Hackard-Analysis
Analysis of employee database that determines the number of retiring employees and identifies employees eligible for the mentorship program using SQL queries.
fkerimov/hello-world
Greeting the World
fkerimov/kickstarter-analysis
Kickstarter data analysis for trends
fkerimov/kickstarter-challenge
fkerimov/Mapping_Earthquakes
fkerimov/Mission-to-Mars
fkerimov/Neural_Network_Charity_Analysis
fkerimov/PyBer_Analysis
fkerimov/School_District_Analysis
fkerimov/stock-analysis
fkerimov/stock-analysis-VBA-Challenge
Refactored script of stock analysis with VBA
fkerimov/surfs_up
fkerimov/UFOs
fkerimov/vdem_visualization
Parsing and visualization of V-Dem (Varieties of Democracy) indices
fkerimov/World_Weather_Analysis