Umar Farooq's repositories
Employee_Data_Management_SQL
Created an employees database in postgreSQL and imported data using the provided CSVs. Ran queries in SQL for analysis, and used python to create histograms and bar charts for detailed analysis.
Analysing_US_Land_Fires
Used 2013-2017 US Land Fires data to create interactive dashboard and visualisations to determine causes of land-fires and number of land-fires in different US states between 2013-17.
Banks_and_Polls_Calculations_Python
Using python to count number of votes from the voters data provided, and to create summary of company's profit/loss data for 86 months. Using python to read respective CSV's and print output in both terminal and a text file.
Belly_Button_Biodiversity_Plotly_JavaScript
Developed belly button biodiversity dashboard based on data provided using plotly and d3 in JavaScript. The user can select the patient ID from the drop down menu and the selected patient's data is plotted on the dashboard.
BillBoard_Top_100_Artist_Dashboard
Dashboard to show data on music artists who appeared on BillBoard Top 100 Chart from 1999-2019, and created a machine learning algorithm to predict if the song will be a hit based on given attributes.
Citi_Bike_Trips_Data_Analysis_Tableau
Using Tableau to plot and analyse the impact of COVID-19 on the Citi Bike trips, and identification of target market of Citi Bike trips using age, gender and popular location.
Climate_Analysis_API_Python_SQLAlchemy
Used SqlAlchemy to connect to sql.lite database related to climate in Hawaii, for further analysis in Python. Later, created an API to show results based on given parameters.
Earthquake_Geo_Mapping_JavaScript_Leaflet
Used Leaflet in JavaScript to map out last 7 days earthquakes across the globe using USGS earthquake api. The circle markers on the map change in radius and colour based on the magnitude of the earthquake.
NBA_2020_Predictions
Carried out predictive analysis on the latest NBA 2020 games data to predict the winners/lossers of the NBA 2020 season. Used linear regression in python to develop a winning equation, matplotlib to develop charts and google api to create heat map.
Tesla_Stock_ETL_Project
Extracted Tesla Stock Data from Yahoo Finance and Web Scrapped Elon Musk Tweets. Combined and transformed the raw data into a clean dataset and loaded it into SQL for further analysis.
Kickstarter_Analysis_Excel
Organising and analysing a database of 4,000 past Kickstarter projects in order to uncover any hidden trends in excel.
Mars_Data_Python_Web_Scraping
Built a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page.
Pharmaceutical_Data_Analysis_Python_Matplotlib
Analysing data set from a pharmaceutical to check if their drug regimen is effective in reducing tumor size in mice. Used Matplotlib in Python to develop meaningful graphs and charts.
Stock_Market_Analysis_VBA
Created VBA script to clean and summaries large amount of stock market data for easy understanding and decision making.
Stocks_Chatter
A project that looks for chatter related to user input stocks on reddit and twitter, and graphs the count of stock mentions on the platform over time. It site displays stock price and online chatter in a graph side by side.
Temperature_vs_Latitude_Dashboard
Created a dashboard to display graphs based on analysis of Temperature vs Latitude Dataset. The dashboard has individual pages of each plots and a comparison page of all plots together. The table for the dataset page was plotted using pandas library in Python.
UFO_Dataset_Table_Filters_Javascript
Created table filters using D3.js and JavaScript to easily search for required table data based on set filters. The site has two versions. The first site has simple filter which can only be applied on date, while the second site has complex multiple filters which can be applied on date, city, state, country and shape to show the filtered data.
umarfoo.github.io
Personal portfolio, resume & website.
US_States_Risk_Factors_Scatter_Plot_JavaScript
Built a scatter plot using d3.js to show relationship between Poverty %, Age (Median), Household Income (Median) and Lacking Healthcare %, Smokes %, Obesity % in various US states, represented by scattered dots on the graph, which change based on the selected risk factor.
Video_Game_Analysis_Pandas
Using Pandas library in Python to develop meaningful insights of the data provided by a video gaming company for one of their games.
Weather_Analysis_Python_API
In this project, I was asked to use Python requests, APIs, and JSON traversals to answer a fundamental question: "What's the weather like as we approach the equator?" I was also asked to us Google Maps API to plot heat-map showing humidity of different places, and the nearest hotel in places which met a set vacation criteria.