I care a lot about building things that are thoughtful with people’s time, attention, and energy.

I’m a technical product and engineering leader with 10+ years in software. I’ve led engineering teams, taken real ownership of messy internal systems and AI initiatives, and spent a lot of time in the unglamorous, messy middle (my favorite!) figuring out why things break, get slow, or exhaust the people using them.

Over the last few years, I’ve worked as an executive coach for engineers, PMs, and founders. This experience changed how I see organizations. It gave me a front-row seat to where work actually gets stuck. (Un)surprisingly, it's not in the tech itself, but in unclear ownership, misaligned objectives, and communication that has fallen to the wayside.

That perspective has made me sharper about trust, partnership, and how real decisions actually get made.

My free time consists of learning to hip hop dance (still terrible but still having fun, thanks for asking!) and weightlifting. I have a strong affinity for wigs. My favorite will always be when I dressed up as Estelle from the Golden Girls.

Sarah Ing

Wisp

Senior Data Analyst

Daybreak LLC

Support the illegitimate product detection efforts within the FDA Center for Devices and Radiological Health to improve screening of potentially illegitimate products before entry into the US medical supply chain.

Data Scientist

Oracle

Used data to inform, influence, and identify areas to execute strategy. Communicated with stakeholders from all areas of the business to shape project foci.

Set, tracked, and automated program KPIs through extensive collaboration with organizational leadership. Constructed dataset from multiple high dimensional sources, automated data pipeline, and built out dashboard to visualize performance against organizational goals and drive decision making. Built self-serve data tool into the dashboard leading to a 15% decline in ad hoc data requests. Constructed and led a hands-on data science project for part-time analysts that identified three metrics correlated with customer churn. Optimized and automated weekly SQL reporting queries that reclaimed more than four working hours per week. Created intake system to organize and fulfill ad hoc data requests. Refined ability to communicate complexities within data and algorithms. Built tool to aid non-technical stakeholders design, track, and report on internal experimentation.

Data Science Associate, Oracle for Startups

Performed extensive exploratory data analysis on high dimensional internal data, and standardized input for multiple features across systems. Documented tables in detail to aid future onboarding and to help colleagues focus future data requests. Modeled customer attrition using logarithmic regression and identified four attributes for further study. Worked with leadership to identify areas of improvement in recruiting.

Data Science Intern, Oracle for Startups

mental_floss, Ars Technica, The Washington Post, Adweek

Communicated complex and technical concepts for national and international audiences through more than 1,000 articles for publications including The Washington Post, Food Network, Ars Technica, mental_floss, Adweek, and many others. Taught cocktail classes. Fact-checked technical articles for Discover Magazine.

Authored and published Romantic Cocktails (2019) and The Classic & Craft Cocktail Recipe Book (2017).

Freelance Writer

Self-Employed

Effectively communicated difficult concepts in math, physics, and coding in Python leading to an average improvement of one letter grade.

Tutor

University of Virginia

Technically intensive one-year program with a strong focus on statistical principles applied in Python and R.

Relevant coursework: Deep Learning, Data Visualization, Exploratory Text Analysis, Bayesian Machine Learning, Data Mining, Linear Models for Data Science, Algorithms and Tree-Based Models

Master's of Science in Data Science '21

DiAnoia's Eatery

Communicated and effectively sold cocktails, spirits, and food to customers from all different backgrounds in a fast-paced environment. Learned product storytelling.

Bartender

YWCA Central Alabama

My Sister's Closet Coordinator

Octane Coffee + Bar

Trained new employees in bartending techniques, service standards, and deep cocktail and spirits knowledge. Edited new employee handbook and training guides for grammar and content. Developed cocktails, researched category knowledge, and made invaluable community contacts.

Assistant Bar Manager

As a data scientist with a non-traditional background, I bring together the creativity and communication skills of a veteran freelance writer and the technical know-how forged through formal education and workplace experience. In my career so far, I have worked on every part of the data pipeline: gathering requirements from clients, creating and managing SQL tables, collecting data, building front-end visualizations and data products, and coding easily interpretable predictive algorithms.

Before data science, I worked as a freelance writer, math and physics tutor, and bartender. This non-traditional combination uncovered and distilled a passion for communicating complex, technical topics in accessible and interesting ways. I have also led several seminars on media readiness and writing skills for professional organizations in the service industry. Additionally, I am the author of two published books: Romantic Cocktails (2019) and The Classic & Craft Cocktail Recipe Book (2017).

I'm fluent in SQL, Python, and data visualization, especially in Tableau and Oracle Analytics Cloud, but deeply enjoy the challenge of learning new systems and conveying the most important information.

Skills:
Languages: Python, Excel, Tableau, SQL, Oracle Analytics Cloud, LaTeX, R, regex 
Statistics: Probability, linear and logistic regression, Bayesian analysis
Soft skills: Adaptability, problem solving, collaboration, customer service, editing, writing, creativity, flexibility
Data science skills: documentation, data storytelling, cleaning/munging, random forest, decision trees, logistical and linear regression, topic modeling, risk scoring

taplio

The Battle

Sarah Ing

Clair McLafferty

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