Kelly's Portfolio

About me

Hi, I'm Kelly.

I am an aspiring data scientist with a passion for data and extracting meaningful insights to create visualizations from complex problems.

I graduated Cum Laude from San Jose State University in Fall 2020 with a focus in Applied and Computational Mathematics and a minor in Economics. By studying computational math at SJSU, I was able to rediscover my interest in analytics.

Since graduating I have dedicated my time to learning and improving upon my technical skills in data visualizations and data modeling by reading books like "Making Sense of Data" by Glenn J. Myatt and "Storytelling with Data" by Cole Nussbaumer Knaflic, taking MOOCs on Udemy and Coursera, and applying my skills to personal projects.

I will be graduating from Georgia Institute of Technology in May 2024 with a Master's of Science in Analytics. I specialize in the Analytical Tools track which focuses on quantitative methodology in machine learning, forecasting, data mining, optimization, and simulation.

Aside from that, I enjoy speed solving Rubik's cube, baking the perfect chocolate chip cookies, and weight training in my spare time!

Coursework I've taken include:

Introduction to Analytics Modeling

Computing for Data Analysis

Data and Visual Analytics

Data Analytics in Business

Business Fundamentals for Analytics

Computational Data Analytics

Deterministic Optimization

Bayesian Statistics - Theory and Practice

Statistical Modeling and Regression Analysis

Applied Analytics Practicum with the company Netskope

Technical Skills

Languages

SQL

Python

Java

JavaScript

HTML

CSS

Libraries

Pandas

NumPy

Seaborn

Matplotlib

Sklearn

BeautifulSoup

Selenium

Tidyverse

Softwares/ Other

Microsoft Office Suite
(Excel, Powerpoint, Outlook)

Tableau

Tableau PrepBuilder

Jupyter Notebooks

Machine Learning

NLP

MOOCs

(Esri) Spatial Data Science: The New Frontier in Analytics

(Udemy) R Programming A-Z™: R For Data Science With Real Exercises!

(Udemy) Machine Learning A-Z™: Hands-On Python & R In Data Science

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Yelp Food and Service Aspect-Based Sentiment Analysis

_{(Python, NLP(BERT, LDA), Streamlit)}

An aspect-based sentiment model that predicts food and service sentiments based on a given Yelp review. Included in the project is a Streamlit application that allows business users to see their review analytics and has a sentiment generator.

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Electric Vehicle Adoption in the United States

_{(Python, Feature Selection, Imbalanced Data)}

A report detailing important consumer characteristics that correlate to electric vehicle adoption using classification of imbalanced data.

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Glassdoor Data Analyst Essential Guide

_{(Web Scraping, Wrangling (Excel and Python), NLP, EDA, Machine Learning Modeling)}

An all extensive guide for Data Analysts which include top 10 covetted job skills, 200 interview questions from popular companies, and a salary estimator.

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Spotify Optimal Musical Flow Playlist

_{(Requests to API, Wrangling (Excel and Python), EDA, Tableau)}

My own version of Spotify's popular annual "Wrapped" and a program to reorder the songs in my "Top 100 Songs for 2020" by optimal musical flow.

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Airline Reservation System

_{(MySQL, Java)}

An airline reservation system that allows users to create an account and set a reservation with a airline and flight of their choosing and allows the database adminstrator to archive old data.