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

*Relevant

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

EMAIL

tiffkinney@gmail.com

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