• Hi!
    I'm Kenya

    I am a Program Manager with a background in data analysis and am passionate about strengthening organizations through data-driven decisions. Beyond that, I am fascinated with human behavior, passionate about literature, Dungeons & Dragons, boardgames, video games, and baking.

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    Resume (plain text)

About Me

I'm Kenya Chauche (pronounced "Sho-sh"). I have a background in Data Analysis, Nonprofits, and Customer Relations, with an education in Environmental Science and Computer Science. All of these traits combine into a capable, adaptable, and data-driven Program Manager.

My technical skills complement my years of experience managing teams of staff to drive growth in the nonprofit and serivce industries. I facilitate cross-functional collaboration to develop new solutions and unlcok potential in existing systems. I believe in service, whether it is service to a customer, to a stakeholder, or to a teammate. I tackle new projects with zeal and deliver the most effective, data-driven service I can.

I am happy you're here,
let's connect on LinkedIn!

Heck yes!

My Skills

Program Management

Inter-Team Collaboration, Task Management, Time Management, Technical and Non Technical Communication, Leadership and Teambuilding

Technical

Python, SQL, Tableau, Excel

Interpersonal

Customer Relations, Creative Problem Solving, Conflict Resolution, Public Speaking, Critical Thinking, Communication and Collaboration

Data Management

Data Handling, Data Analysis, Data Visualization, Machine Learning, Data Presentation

Work Experience

Data Analytics Teaching Assistant , General Assembly
May 2020 - Present

  • Coach 60 students ranging from novice to intermediate in technical topics such as SQL queries, data handling, and analysis workflows
  • Instruct students and lead demos on Excel, SQL, and Tableau
  • Develop instructional materials and perform student asessments
  • Host office hours to troubleshoot and implement code solutions, perform ad-hoc analysis

Data Analyst, Freelance
February 2020, May 2020 - Present

  • Design and drive project timeline and work directly with stakeholders to define specific needs and project deliverables
  • Develop data-driven recommendations and communicate findings directly to stakeholders
  • Clean, analyze, and visualize client data to identify key performance indicators, and inform resource allocation decisions
  • Create, maintain, and update tools to support efficient analysis and drive data-informed scheduling and allocation decisions

Shift Lead, Optimism Brewing Company
June 2018 - Present

  • Supervise, train, coordinate teams of up to 12 staff members in running a 700 person capacity beer hall
  • Collaborate in redesign of service model to preserve public safety amidst COVID spread
  • Devise solutions to improve customer experience, engage community, and promote in-house and to-go beer sales
  • Innovate and streamline operating procedures to achieve more efficient cleaning and set-up practices for events
  • Rsearch and communicate knowledge of beer styles and brewing process to both industry professionals and general public

Program Manager, Shirts Across America
May 2017 - November 2018

  • Developed, managed, and executed leadership training programsn and national philanthropy trips while keeping strict deadlines
  • Coordinated, supervised, and trained 70 - 150 volunteers each on national philanthropy trips, producing 9,500+ community service hours
  • Managed, organized, maintained, and analyzed large data sets of volunteer records and participant feedback to identify areas for program improvement
  • Managed website redesign, created graphics for website and social media platforms, researched and employed search engine optimization techniques to achieve increased public visibility and participant engagement

Education

General Assembly

December 2019 - March 2020

Over 600 hours of training in industry leading tools, data analysis, data extraction, modeling, code review, machine learning, and visualization. Techniques from training were applied to real-world data sets and client projects.

University of Washington, Seattle

September 2013 - March 2017

Graduated with a Bachelor of Science in Ecology and a minor in English Literature.

Coursework included topics such as biology, chemistry, and English literature. Coursework involved research, labwork, data collection, data formatting, and data analysis using R.

Projects

Much Ado About Training: Natural Language Generation with Shakespearean Sonnets

Python, Natural Lanugage Generation, Neural Networks, Keras, BeautifulSoup, Webscraping, Machine Learning

Natural Language Generation with a neural network trained on Shakespearean sonnets. This project aims to push the boundaries of NLG in highly structured formats. Read more about it on my GitHub!

Abuse in Hiding: Classification of Subreddits r/Relationships and r/AbusiveRelationships

Python, BeautifulSoup, Webscraping, APIs, Machine Learning, Natural Lanugage Processing

Distinguishing between posts in two subreddits: r/Relationships and r/RelationshipAbuse. Goal is to identify language usage specific to survivors of abuse. Read more about it on my GitHub!

BluPrint: Demystifying First Time Home Buying

Python, Pandas, Numpy, Machine Learning

Linear regression modeling predicting sale prices using housing data from Ames, IA. Model was based features that were strong predictors and intuitively understandable by humans. Read more about it on my GitHub!

Fire Department Call Densities

Python, Pandas, Numpy, Input Validation, Project Management, Executables

Client project identifying times of high call density for the Fire Department on Camano Island. This project was a collaborative product where my duties focused on project management, input validation, and developing the executable. Read more about it on my GitHub!

Predicting Affluence with Yelp

Python, Webscraping, BeautifulSoup, APIs, Modeling, Machine Learning

Collaborative client project using data from Yelp and the City of Seattle to propose a new way of measuring "active" affluence. Yelp data was sourced to gauge surrounding commercial activity and modeled with median neighborhood income, rent, and home value. Read more about it on my GitHub!

Contact

Let's get in touch!
Email me at:

< kenyachauche > at < gmail > dot < com >

Connect on LinkedIn See My GitHub