Data Sales

Kyle Howard 602-***-**** Los Angeles, CA

github.com/kthoward/portfolio ****.*.*******@*****.***

Data professional with a focus on sports, entertainment, philanthropy, and product analysis. I have a passion for leveraging my ability to find, analyze, and predict patterns in data to create solutions for real world problems. I sincerely enjoy the creativity involved in hypothesis development and feature generation as well as the evolution of data technology and AI. My background in product and business development enables me to translate observations into shared knowledge and communicate with a team focused on developing strategies that solve core business problems.

Strong machine learning and AI skillset

Strong Python skillset

Strong business and product skillset

Has utilized data to manage sales growth across three states as well as maximize efficiencies in multiple entertainment projects

Passion for experiment design and hypothesis testing

Strong mathematical skills with sound knowledge of exploratory data analysis using various Python libraries including NumPy, Pandas, Keras, Scikit-Learn, and Seaborn.

Well-versed in supervised and unsupervised machine learning along with neural networks.

5+ years utilizing data for marketing, sales, and product optimization

10+ years experience in business development, marketing, product development, account management, brand development, etc. KEY DATA SCIENCE SKILLS

Unsupervised learning Supervised Learning Semi-supervised learning Data Visualization Regression Models Classification Models A/B Testing Deep Learning Natural-Language Processing Neural Networks Machine Learning Experimentation Design

Algorithms

TOOLS & TECHNOLOGY

Languages: Python Databases: SQL Version Control: Git Tools: scikit-learn, Statsmodels, NLTK, spaCy, Seaborn, Matplotlib, gensim, sciPy, Pandas, NumPy, TensorFlow, Keras, Quantum Metric, Qubit, Tableau, Jupyter Notebooks

EXPERIENCE

Startup in Stealth Mode Los Angeles, CA (Contract) Data Scientist / Lead Business Advisor July 2019 – Present

Work as lead advisor for a startup focusing on business efficiencies

Develop data science best practices as well as construct model architecture

Construct multiple funnels for the purpose of KPI reporting and UX optimization

Advise overall business structure

FanDuel Los Angeles, CA

Product Analyst October 2019 – January 2021

Analyze anomalies in site performance behavior ranging from discovering and analyzing bugs, determining why user behavior is is inconsistent with traditional patterns. Analyze the data to understand where the product is losing potential customers, the value that those customers would bring, and how to fix it.

Analyze and prioritize UX issues as well as bug fixes

Run data analysis on new promotions and games for both Sportsbook and Casino to determine the most effective user journeys and which experiences need to be amplified or positioned differently

Analyze cross-sell promotions for sports book, casino, racing, and fantasy sports

Analyze clusters of consumers to understand best promotions for each groupings

Work to predict problem gamblers by creating a supervised model using self identifiers as the target variable (in progress)

Analyze NPS surveys and run the responses through NLP models, sentiment analysis, as well as predicting NPS scores based on initial wagering (in progress)

Manage new experience builds working with the developers to execute as well as QA the experiences themselves and ensure proper data reporting and execution

Aid customer service by investigating customer issues and confirming the user journey SWYG Dublin, Ireland

Senior Business Development Advisor Data Scientist, April 2019 – Jan 2020

Help grow a vested startup focused on ensuring fairness in the hiring process by using AI to detect bias

Analyze data to understand ideal fits for candidates

Engineer product features and perform QA/QC

Manage sales and expansion

TELESCOPE INC. Santa Monica, CA

Account Manager, May 2018 – April 2019

Build Data driven EOP presentations for projects such as American Idol and Alita: Battle Angel

Manage accounts from a wide range of industries but centrally focused on sports, television, and entertainment (NBC Sports, Bravo, Fox, etc.)

Manage sales and revenue growth with an emphasis on sports, live streaming, gaming, and science fiction

Manage all projects from sale/up-sell to completion including managing client expectations, generating new products and pitching solutions to suit specific project parameters, working with production to ensure smooth rollouts and execution of all projects,.

THE DEVMASTERS Santa Monica, CA (Short term contract) Data Scientist, January 2018 – February 2018

Teach Data Science concepts to students enrolled in bootcamp.

Create data challenges for curriculum and produce webinars on topics like NLP and deep learning/neural networks

Help students troubleshoot homework and instill real world applications for data centered problems ARRYVED Boulder, CO

West Coast Product Director, October 2016 – December 2017

Introduced a tech-based company to the craft beer world.

Business development role focused on brand representation and cultivating potential clients/partnerships. AVERY BREWING CO. Boulder, CO (Territory: Northern Colorado, AZ, WY, NE) Sales and Marketing Representative, May 2011 – October 2016

Managed all distributors and accounts within the territory with an annual volume growth rate of 20%.

Provided beer education and lectures to further industry education. Gave lectures on everything from hop profiles to yeast health at Wyoming University.

WARNER BROTHERS RECORDS Los Angeles, CA

Artist Band Manager, May 2007 – May 2017

Founder, writer, and manager of a successful indie-punk group.

Planned and executed international tours with an emphasis on sales and marketing. EDUCATION

THINKFUL New York, NY

Data Science, July 2017 – Feb 2018

Intensive data science program with focus on supervised and unsupervised learning, natural language processing, and deep learning..

ARIZONA STATE UNIVERSITY Tempe, AZ

English Literature, August 2003 – January 2005

English studies with a focus on creative writing.

Published author and received national recognition for short stories, prose, and poetry. Cicerone Certification Program Chicago, IL

Certified Cicerone

Beer equivalent of sommelier

Program includes: Beer chemistry, draft system design and maintenance, historical style guide, off flavor analysis, style identification

PERSONAL PROJECTS

Property Appreciation Prediction Neural Network: (linked)

This project uses Zillow and Yelp data to determine if a neighborhood (zip-codes in this model) will become trendy and thus raising the property values in a six month span.

Utilizes Keras/Tensorflow as well as NLP on the Yelp review data.

The final model was able to identify whether property values will increase or remain stagnant with a 97% accuracy rate (during a time period where values declined overall), the model was able to determine whether the zip-code would gain 3%+ with a 88% accuracy rate, and was able to determine if the zip-code would gain 10%+ with a 23% accuracy rate BBC Article Clustering and Classification: (linked)

This project uses unsupervised learning to cluster BBC news articles into five groupings.

Utilizes semi-supervised learning to classify the documents as well as supervised learning to gain perspective on how successful the classification is in comparison to the supervised models.

The final semi-supervised model is 93.4% successful in categorizing the news articles.

Contact this candidate