Hire Freelance A/B Testing Developers and Engineers
Elizabeth Eardley, PhD
Elizabeth is a versatile data scientist, combining a strong scientific background from postdoctoral research with six years of industry experience, including Booking.com and Skyscanner. She excels at applying scientific techniques to data to support and automate decision-making, optimize products, and uncover actionable insights. Elizabeth has conducted extensive A/B testing and built and scaled multiple online experimentation platforms and optimization programs.
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Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
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Muzammil Husnain
Muzammil is a skilled and responsible developer who excels in crafting complex applications and brings a wealth of experience. His expertise spans diverse technical and business domains, honed over eight years. He values effective communication, organization, and collaboration and thrives in team environments. Muzammil embraces challenges and utilizes his creativity to discover innovative solutions and tackle challenges head-on.
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Constantin Dumitrascu
Constantin is a goal-driven software engineer with 17 years of experience in senior roles, leading technical projects at AWS, Google, and Facebook. He is at his best solving "impossible" problems at scale, such as re-architecting Facebook's video encoding infrastructure while handling over 100 billion daily sessions. Constantin is on the lookout for challenging missions to help build world-class products that maintain high integrity and safety for users while exceeding business goals.
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Zachary A. Goodman
Zack is a silicon-valley experienced and PhD-educated data science consultant with expertise in experiments, causal effect estimation, and cloud data tools. He holds a PhD in economics with a research focus on estimating causal effects using big data. Zack has over seven years of experience using Python, SQL, etc., to answer questions using data. He enjoys helping his clients achieve their goals, whether building data pipelines, automated dashboards, or conducting ad hoc analyses.
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Fabian Steuer
Fabian is a data scientist and analytics engineer with more than five years of experience using the Python data science stack. As a full-stack data scientist, Fabian is skilled in the whole data value chain—from the initial data analysis to building predictive models and deploying the solution on various cloud platforms.
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Brian Todd
Brian is an experienced data scientist and machine learning engineer with a track record of researching and deploying a wide range of models for natural language processing (NLP) tasks, computer vision algorithms, classical machine learning algorithms, Bayesian statistical models, time series analysis models, and large-scale data mining algorithms.
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Ed Cupaioli
Ed is a one-person web department with many years of experience embedded with marketing, digital, and communications teams. From enterprise websites to landing pages, he coded and optimized them all with a user-first approach driven by data. Typically the roles of developer, UX specialist, and product manager are separate, but you get all three with Ed.
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Bohdan Tsymbala
Bohdan is a software engineer with experience in library/framework and product development, mainly in the domain of web application development. He has a strong belief in software development concepts and theories and has an interest in software modeling, programming languages, artificial intelligence, and more.
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Ahmed Khaled
Ahmed is a senior data scientist who loves to dig into his clients' problems and solve them using state-of-the-art data-driven solutions. He can design, implement, and deploy data science solutions to solve problems, optimize outcomes, or automate a process. He's worked with both small and large scale businesses. He focuses on creating business opportunities to optimize the outcome. He educates, refines, and drives himself to be a better person.
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Tory Borsboom-Hanson
Tory is a data scientist and forecasting specialist with extensive experience in experimental design, AB testing, and leadership roles. His stack of choice includes Python, SQL, Pandas, PySpark, Hadoop, MLFlow, XGBoost, and Scitkit-learn. Beyond data science and model development, he is an expert at data visualization and reporting, especially to non-technical audiences. He often remarks that "a poorly presented analysis can often be worse than no analysis at all."
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