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mhasegawa7045/README.md

Marie Hasegawa Portfolio

Data Science Major with a Concentration in Big Data Analytics, Machine Learning, and Statistics

Coding Gif

Data Science Magna Cum Laude (3.88 GPA) graduate of Florida Polytechnic University with 1 year of work-experience, and has collaborated in 3 group projects and built 6 personal projects.

Experience with data processing, data pipelines, ETL pipelines, and data visualizations for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques.

Highly organized, motivated, and diligent with a significant background in Big Data Analytics, Machine Learning, Statistical Learning, Data Warehouse, Data Mining & Text Mining, Cloud Implementation, and Project Management.

Links πŸ‘©β€πŸ’Ό

My Linkedln Profile

Handshake Profile

Work-Experience πŸ’ΌπŸ’

  • FedEx Corporation - IT Data Science and Analysis Intern: Research and Development
  • Real Estate Bot - Data Science and Analysis Capstone Contractor

Projects πŸ“

Skills πŸ“Š

  • Big Data Analytics
    • Data Processing (cleaning, transforming, wrangling, etc.)
    • Data Pipelines
  • Machine Learning
    • Exploratory Data Analysis (EDA)
    • Regression
    • Support Vector Machine (SVM)
    • Clustering
    • Decision Trees
    • Random Forests
    • Ensemble Learning
    • Bagging
    • Boosting
    • Natural Language Processing (NLP)
  • Statistical Learning
  • Data Warehouse
    • ETL Pipelines
    • Data Warehouse Architecture
  • Data Mining and Text Mining
  • Cloud Implementation
  • Project Management
  • Time Series and Forecasting

Technical Skills

Programming Languages πŸ–₯

  • Proficient:
    • Python (numPy, pandas, matplotlib, scikit-learn)
    • SQL
    • R Programming (tidyr, dplyr, ggplot2, caret, rpart, cluster)
    • HTML
  • Novice:
    • Java
    • Bash
    • C/C++

Databases πŸ—ƒ

  • Proficient:
    • PostgreSQL
    • MySQL
  • Intermediate
    • Transact-SQL (T-SQL)
    • Azure Cosmos DB
    • MongoDB
    • NoSQL
    • DynamoDB

Tools πŸ§°πŸ› 

  • Microsoft SQL Server Management Studio (SSMS)
    • SQL Server Analysis Services (SSAS)
    • SQL Server Integration Services (SSIS)
  • Microsoft Visual Studio
  • Tableau
  • Power BI
  • Jupyter Notebook
  • RStudio
  • GitHub
  • Microsoft Azure
  • Microsoft Project
  • Microsoft Excel
  • Visual Studio Code (VS Code)
  • Stata
  • AWS

Pinned Loading

  1. Course-Selection-Database-System Course-Selection-Database-System Public

    A database system that acts as a Course selection network would ease the process of Course registration for both students and teachers. This project uses relational and nonrelational databases call…

    1

  2. Cursed_House_Unix_BASH_Text_based_RPG_MHasegawa Cursed_House_Unix_BASH_Text_based_RPG_MHasegawa Public

    Cursed House is a personal project that simulates a horror, adventure Unix game that teaches basic Unix/Linux commands to novice Unix players. The game uses Bash commands, functions, and ASCII imag…

    Shell 1

  3. Film_Movie_Text_Mining_Sentimental_Analysis_Machine_Learning Film_Movie_Text_Mining_Sentimental_Analysis_Machine_Learning Public

    [Tokenization, Topic Modeling, Sentiment Analysis, Network of Bigrams] The purpose of this project is to see if text mining techniques can ease better analysis for categorizing movies with just the…

    HTML 1

  4. IMDB_Movie_Ratings_Bias_Project IMDB_Movie_Ratings_Bias_Project Public

    The project creates a data analysis with R programming to determine if a film's IMDB ratings, directors, actors, genres, metascores, runtimes, and revenue affect the success of a movie and create b…

    HTML 1