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Freelance Data Scientist
Sanket has worked on several high impact data analysis, data science, statistics projects. He is proficient at statistical thinking and A/B testing techniqu...es. He likes to work with business impact and product needs in mind. He is also a thought leader and has a popular blog and a podcast. He is skilled in Python, Pandas, SQL, AWS, Vue.js, building APIs, and data science architectures.
Freelance Data Scientist
Todd is a software engineer with more than a decade of experience working on business and analytics applications. He's built decision systems for some of th...e world's largest hedge funds and consumer companies. Along with a PhD degree in computer science, Todd has published peer-reviewed research on machine learning and automated program analysis.
Freelance Data Scientist
Jonathan is a full-stack engineer who's as comfortable working on large-scale distributed systems as he is on client-facing single-page web apps. Jon also e...xcels at working with big data, and has frequently worked on a petabyte scale.
Freelance Data Scientist
Lawrence is a software developer and quantitative analyst with over 12 years of experience in software development and quantitative modeling. He's worked at... Citigroup, Traxis Partners, as well as co-founding a Y-Combinator funded startup. Lawrence prefers projects that use both his financial and programming backgrounds, but he also enjoys working with and analyzing data—either in analysis, visualization, or machine learning.
Freelance Data Scientist
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and progra...mming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.
Freelance Data Scientist
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 lan...guage processing (NLP) tasks, computer vision algorithms, classical machine learning algorithms, Bayesian statistical models, time series analysis models, and large-scale data mining algorithms.
Freelance Data Scientist
Vimal is a senior enterprise data architect with an extensive background in database and business intelligence fundamentals. He has over 14 years of experie...nce across industries as a user experience architect, data modeler, data architect, solutions developer, and business analyst. Vimal brings in-depth knowledge to projects with BI tools, including SQL Server, analysis, integration and reporting services, as well as big data fundamentals.
Freelance Data Scientist
Abraham is a database pro with over 30 years of experience in IT. With an extensive background in management, sales, and finance, he specializes in systems... integration, conversion, migration, customization and performance tuning, analysis, design, and the development and implementation of computer systems, particularly in Oracle and Unix environments. His primary concern is to satisfy the needs of management and the end user through innovation.
Freelance Data Scientist
Brian has over 15 years of experience as a full-stack developer, including creating a #1 iOS game in 2008 and scaling Yahoo! ad servers. Brian's strengths a...re adaptability, clear communication, and a relentless focus on the details that get projects shipped.
Freelance Data Scientist
With a PhD in Computer Science from the University of Michigan, Azarias has worked at large tech companies like LinkedIn and Microsoft, and has led two star...tups as CTO. His technical expertise is web development and machine learning in Python. He has built large-scale web applications (primarily with Django), worked on many data science projects, and managed teams of engineers. His favorite projects combine web development with data engineering.
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The Protein Data Bank (PDB) bioinformatics database is the world's largest repository of experimentally-determined structures of proteins, nucleic acids, and complex assemblies. All data is gathered using experimental methods such as X-ray, spectroscopy, crystallography, NMR, etc. This article explains how to extract, filter, and clean data from the PDB to make it suitable for further analysis.
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