Intro

Dedicated to bringing vision to Data Science and unique perspective to help others and change lives with beautiful code, one line at a time. My journey includes statistical programming, data engineering and design, research in cognitive and social sciences, mastering Big Data, showcasing cause awareness, social issues, and demographics. Check out my work.

Work

cover-Do-they-like-me

"Do They Like Me?"--An experimental project completed as a part of Thinkful's Data Science Immersive Program. Told from the perspective of a data scientist, we will test hypotheses:

  • "Has interest in Data Science increased or decreased?"
  • "Has interest in Data Science increased or decreased since the release of Harvard Business Review article, naming 'Data Scientist' the 'Sexiest job in the 21st Century'?"
    In this experimental build, we'll see just how popular the terms 'Data Science' and 'Data Scientist' are; and, test whether this popularity is statistically significant. Project features original designs by researcher using Adobe Spark.
    "Do they Like Me?" A/B Testing With Google's Keyword Searches

    slide-predicting-income

    Using the popular and informative US 'Adult' dataset--also known as "Census Income" dataset--we've turned to Supervised Learning, replicating curriculum methods, to see if we can predict a person's class/income status?
    Predicting Class/Income with Logistic Regression

    cover-insights-on-sex-ident

    Here we will take a look into the respondents answering questions captured in the Multidimensional Sexual Self-Concept Questionnaire created in 1995 for general study of sexuality.
    Insights on Sexual Identity using Unsupervised Learning

    cover-feel-me-app

    Could you music history help you feel better?
    Utilizing multiple machine learning approaches to produce meaningful statistics with historical Spotify user data. Prospective gains include ability for Spotify user to receive tailored feedback, Sentiment Analysis of track lyrics, better understanding on how the user can improve their day-to-day mental health and wellness.
    Thesis - "FeelMe™ App" - Using Specialized Machine Learning to improve Spotify recommendation


    Below, I've included some work completed as a Data Science Fellow with Thinkful. These Notebooks demonstrate fundamentals in SQL and Python, as well as some analytical programming skills. Enjoy!
    SQL Drills 1

About

Jasmine has over a decade of corporate data and service delivery experience with the Nation's largest industries. She is a visionary, innovative, focused, and tenacious Data Scientist, Startup Founder & CEO, and Creative Director from Chicago, IL. She recently was awarded Internet 2.0's 2020-2021 "Top 100 Tech Innovator and Influencer Award" for her contributions to technology including winning a Fortune 100 Hackathon and securing a Top 10 nomination for Cognizant's Center for the Future of Work in defense of her acclaimed thesis "The Democratization of the Eudaimonia" as well as her Globally recognized innovation in Machine Learning, "Predicting Fortune 500 Laureates using Stock Market Figures", which she completed in her first 6 months as a Data Engineer at Cognizant. Experience with Scala, Dask, Python, SQL, HTML, Java, Dart, and JavaScript. Also experienced in Cybersecurity, Cyber Risk and Enterprise Risk Management, Cognitive Science, DevOps, Web Development, ETL, Machine Learning Algorithms, Data Pipelines, Data Storytelling, and Data Visualization. Specialties include Cyber Risk, Data Mining, GIS, Big Data, Data Warehousing, Natural Language Processing, Artificial Intelligence, Enterprise Business Intelligence, Research, and Public Speaking. Core technologies include Snowflake, AWS, Apache Spark, BigQuery, Github, Sizzy, GCP, Data Studio.

    Here are some of the ways I've been recognized for my contributions in Tech:
  • - Winner, Top 5% Score - Outstanding Leadership in Technology, Internet 2.0, April 2022
  • - Winner, Top 100 Tech Innovator & Influencer 2020-2021, Internet 2.0, June 2021
  • - Winner, 1st Place Capital One Hackathon, January 2021
  • - Critical Recognition - List of Inspirational Persons by Bruno Aziza, Head of Data and Analytics at Google Cloud, via LinkedIn, December 2020
  • -Top 10 Candidate, Future of Work Secondment at Cognizant, December 2020
  • - Nominee, "Best Tech Startup for Diversity", Timmy Awards, September 2020
  • - Beta Tester, 'HBR Leader's Anxiety Toolkit', Harvard Business Review, Spring 2020
  • - Invitation for Nomination, ‘Top 50 Tech Leaders Awards’, InterCon Conference, April 2020
  • - Invitation for Nomination, Timmy Awards, October 2019
  • - AdobeSpark Video Beta Tester, AdobeSpark, Summer 2019
  • - Modis Academy Scholarship Recipient, Data Science, August 2019
  • - Harvard Business Review Contributor, October 2019
  • - Nationally Endorsed by BlackGirlsMapp, an ESRI initiative, June 2019
  • - First Woman of Color in Illinois endorsed by BlackGirlsMapp, an ESRI initiative, June 2019
  • - Endorsed, DevTechExpert at BMW Technology's Global release of Google's Flutter framework, June 2019
  • - Insider, Unsplash, July 2019 - Present
  • - Insider, AdobeSpark, June 2019 - Present

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while (!deck.isInOrder()) {
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}

print 'It took ' + i + ' iterations to sort the deck.';

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