Tiffany Kinney
With a background in neuroscience and a passion for uncovering the stories hidden in data, I blend curiosity, precision, and creativity to tackle complex problems.
EXPERIENCE
AI Model Trainer
Feb 2023 - Present
@ OUTLIER
Virtual ESL Teacher
Nov 2016 - Apr 2021
@ VIPKID
Research Assistant
Jul 2009 - Oct 2012
@ Baylor College of Medicine
Dec 2005 - Jun 2009
Lab Manager
@ Center for Network Neuroscience
EDUCATION
Baylor College of Medicine
Predoctoral Fellow, Neuroscience
Ludwig-Maximilians-Universität
MSc, Cognitive Neuroscience
University of North Texas
BSc, Biology
SKILLS
Adaptability • AI Literacy • Analytical Thinking • Technical Communication • Natural Language Processing (NLP) • Prompt Engineering • Machine Learning • Data Mining • Tableau • Data Modeling • Data Analysis • Data Visualization • Excel • SQL • Python • Research • Graphic Design •
Excel
Python
Jupyter
PostgreSQL
Power BI
Tableau
Projects
Analyzed regional &temporal sales trends to inform future decisions.
KEY QUESTION: What are the leading factors that contribute to client loss?
Skills: EXCEL DATA CLEANING, EXPLORATORY DATA ANALYSIS (EDA), DATA GROUPING, FILTERING, SUMMARIZING, PIVOT TABLES, DATA VISUALIZATION, DESCRIPTIVE ANALYSIS
Analyzed past data to determine how to best deploy medical staff.
KEY QUESTION: When, where, and in what population are influenza deaths highest?
Skills: EXCEL, DATA CLEANING, EXPLORATORY DATA ANALYSIS (EDA), DATA GROUPING, FILTERING, SUMMARIZING, PIVOT TABLES, DATA VISUALIZATION, DESCRIPTIVE ANALYSIS, DATA TRANSFORMATION
Generated data-driven insights to inform the launch an online streaming service using client's existing movie catalog.
KEY QUESTIONS: Where are most customers located and what films bring in the most?
Skills: SQL, RELATIONAL DATABASES, DATABASE QUERYING, FILTERING, & CLEANING, SUBQUERIES, JOINS & CTES, STORYTELLING IN TABLEAU
Derived insights, suggested strategies for better segmentation, & communicated business insights to the client.
KEY QUESTION: Are certain types of products more popular than others? What
the busiest days of the week and hours of the day?
Skills: PYTHON, DATA WRANGLING, DERIVING VARIABLES, GROUPING, MERGING & AGGREGATING DATA, POPULATION FLOWS
Analytical support of compliance department. Analysis performed to help the bank assess client retention factors & reported on metrics.
KEY QUESTION: What are the leading factors that contribute to client loss?
Skills: EXCEL DATA CLEANING, EXPLORATORY DATA ANALYSIS (EDA), DATA GROUPING, FILTERING, SUMMARIZING, PIVOT TABLES, DATA VISUALIZATION, DESCRIPTIVE ANALYSIS
Explored weather impact on user-reported symptoms. Geographical location & weather condition
factors were examined in addition to self-reported triggers.
KEY QUESTIONS:
Are there subsets of condition types and effects that are differently affected by weather and time? Is it possible to reliably predict flare triggers for a given user or condition?
Skills: EXCEL, PYTHON, DATA CLEANING, EXPLORATORY DATA ANALYSIS (EDA), DATA GROUPING, FILTERING, SUMMARIZING, PIVOT TABLES, DATA VISUALIZATION, DESCRIPTIVE ANALYSIS
Identified weather patterns & trends from historical data. Determined the safest or most pleasant current and future locations.
KEY QUESTIONS:
How can machine learning provide advanced forecasting methods necessary to prepare for our evolving climate?
Skills: PYTHON, MACHINE LEARNING, RANDOM FORESTS, CONVOLUTIONAL NEURAL NETWORKS, GENERATIVE ADVERSARIAL NETWORKS, DATA VISUALIZATION, DESCRIPTIVE ANALYSIS
Other visual applications of machine learning
KEY QUESTIONS:
How can machine learning be used to recognize writing and images?
Skills: PYTHON, MACHINE LEARNING, DEEP LEARNING, GENERATIVE ADVERSARIAL NETWORKS, DATA VISUALIZATION
CONTACT
tiffkinney@gmail.com
© Tiffany Kinney/ All Rights Reserved / Made with Brizly