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My Data Science Projects Portfolio

DATA SCIENCE PROJECTS

  • Performance Dashboards of Cookies Co.

    • Topics: Microsoft Power BI, Business Intelligence, Data Visualization, Data Analysis, Data Cleaning, Business Reports
    • Role: Business Intelligence Analyst
    • Date: March 2024
    • Description: Used a public dataset to create intelligence of business metrics for a model sales company. Cleaned data to create a usable format and standardization. Created multiple dashboards using Microsoft Power BI organized by year and quarterly dividends.
  • Data Analysis of National Walkability Index Project, UNT

    • Topics: Data analysis, knowledge discovery, data visualization, computation, project management, Microsoft Excel
    • Role: Data Analyst
    • Date: November 2023 – December 2023
    • Description: Computed the National Walkability Index Score for large metropolitan cities in Texas. The dataset used was from the US Environmental Protection Agency’s massive Smart Location Database of over 220,000 records. Extracted over 7,200 records containing data for Houston, Dallas-Fort Worth, and Austin. Processed data in Excel using functions, formulas, and charts to create valuable information and knowledge.
  • Natural Language Processor and Data Mining Project, UNT

    • Topics: Data science, natural language processing, data mining, RapidMiner, large datasets, project management
    • Role: Data Scientist
    • Date: October 2023 – November 2023
    • Description: Created a natural language processor to determine the main factors employees at big tech companies find as benefits and disadvantages. Analyzed employee feedback. Utilized statistical analysis techniques to gain insight into key business problems. Discovered textual associations in the dataset using k-means clustering in data mining software, RapidMiner. Performed data cleaning and data analysis on a large dataset of over 4,300 records.
  • Data Analysis of Google Play Store Apps Project, UNT

    • Topics: Data analysis, data visualization, project management, large datasets, Microsoft Excel
    • Role: Data Analyst
    • Date: September 2023 – October 2023
    • Description: Created a data analysis project to discover trends in Google Play Store apps from 2010 to 2018 using a very large dataset of about 10,000 records. Utilized Excel to create visualizations such as bar graphs, line charts, pivot tables, tables, pie charts, and calendars. Scripted advanced Excel functions and formulas for time, date, searching, sorting, matching, retrieval, and statistics.
  • COVID-19 Exploratory Data Analysis Project, UNT

    • Topics: Data visualization, data analysis, knowledge discovery, project management, Tableau, health informatics
    • Role: Data Analyst
    • Date: June 2023 – July 2023
    • Description: Used a public dataset to discover global trends in the COVID-19 pandemic from February 2020 to May 2022, relating to health issues, deaths, and survivors. Extracted data to observe some of the highest populated countries, China, India, USA, Indonesia, Pakistan, Nigeria, and Brazil. Created visualizations for maps, bar graphs, line charts.
  • Predicting Gun Violence Project, UNT

    • Topics: Data science, machine learning, data pipelining, linear regression, computation, project management, R Language
    • Role: Data Engineer
    • Date: April 2023 – May 2023
    • Description: Used R to discover where the highest and least areas of gun violence happen in America from 2014 to 2017, and accurately predicted areas with the greatest chance of attacks.
  • Tiny Library Database Project, UNT

    • Topics: Data science, data warehousing, libraries, project management, MySQL
    • Role: Database Architect
    • Date: April 2023 – May 2023
    • Description: Designed a relational database to store records of transactions and collections in a mid-size model public library using MySQL. The objective was to help create an appropriate database that a software system can use SQL to query and create useful information from the extensive collection of tables for the users.
  • Predicting US House Prices Project, UNT

    • Topics: Data science, data pipelining, machine learning, data analysis, computation, project management, R Language
    • Role: Data Engineer
    • Date: March 2023 – April 2023
    • Description: Built machine learning models to predict US house prices using R. Created visualizations such as density plots, histograms, and bar charts. Performed statistical tests such as ANOVA and t-tests to test precision. Performed data analysis to gather statistical information.
  • Document Term Frequency Project, UNT

    • Topics: Data science, software development, computation, natural language processing, project management, Python
    • Role: Python Developer
    • Date: March 2023 – May 2023
    • Description: Processed files to search for words entered by users and return frequency. Tokenized each word and removed stop words and punctuation to build an accurate array of the keywords in the document.
  • Blackjack Game Project, UNT

    • Topics: Data science, software development, computation, modular programming, project management, Python
    • Role: Python Developer
    • Date: February 2023 – March 2023
    • Description: Recreated the popular card game, Blackjack. Continuously plays the game as long as the user wants. The computer serves as the dealer and the user is the player. Makes use of functions, loops, conditionals, and random numbers to deal new cards, track scores, and determine winners.

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