Top Matplotlib Developers of June 2017

Full-Stack Developer

I have been doing full stack development as a freelance web engineer for about 7+ years. I have experience of consulting for, designing and developing a number of websites and apps. I have experience of shipping products and scaling them.

System Analyst at Universidade Estadual de Campinas

Software Developer. Worked with several programming languages like php, java, javascript, visual basic, lisp and others... currently working with java and javascript (at work place), and python/javascript on hobby projects... Expect to learn more about Image Processing, Neural Network, Augmented Reality and other types of high level interface computer-machine... Current focusing in building android apps, android games and python web apps... raspberry pi and arduino is a constant on my hobby projects, but im not building anything in this direction, perhaps next year! Updating old projects as their technology became a little obsolete... Every one of those projects and ideais are a work in progress... Specialties: python, django, flask, javascript, java, android, jquery, postgresql, arduino, raspberry pi, scrum, project management, mongodb, mysql, augmented reality, digital image processing, php

Data Scientist | Data Visualization | Columbia Graduate Student | Computer Science Engineer | IIIT-H Alumnus

I am currently a graduate student at Columbia University majoring in Data Science, with an interest in Statistical Inference and Modeling, Data Visualization as well as Machine Learning. In particular, I have strong quantitative skills from my mathematics background and experience with data mining and analysis through Python, MATLAB. I also enjoy working on web and mobile development and learning the latest tools and technologies. At Columbia, I am learning the skills with undivided Focus and Consistency, giving proper Significance to learning and being Restorative towards the issues faced along the way, trying always to be deliberative towards my career goals. Deliberative, Significance, Consistency, Restorative, Focus - These aren’t just words for me, these are my superpowers. My learning experiences, marathon adventures and quantified self enthusiasm are perfectly captured by them.

Data-related and CSS

I majorly work on machine learning algorithms. I am familiar with data-related language like Python/R/Matlab and the good practices for each of them. I also know CSS quite well, if you have encountered any hard alignment/strange behaviors, I can look at the code and find out some good solution.

Experienced programmer and Linux adminstrator. Loves tinkering with opensource.

Hi there! I am a software engineer/developer who is currently working with a startup to disrupt the telecom industry. I have expertise in programming (Python, Shell scripting, C++, C) and am currently working on cloud technologies, more specifically OpenStack, OpenDaylight, and ONOS. I also have experience of working with opensource logging and monitoring tools used in the industry.

Sr. Applied Data Scientist at Cognizant

Jaganadh Gopinadhan has 12 plus years of industry experience, most of which has been focused on research and development in Data Science, Machine Learning, Natural Language Processing, Text Mining and Analytics, Semantic Web and Big Data technologies. In his current role as Manager - Projects and Sr. Applied Data Scientist at Cognizant Technology Solutions Pvt. Ltd., he is responsible for the realization of Data Science and Big Data Projects, Text Mining and Natural Language Processing tools and projects. Before joining Cognizant, he spent time in WNS Global Services Pvt. Ltd. Bangalore, where he was serving as Lead Analyst. Prior to this, he spent time in various MNC's and government sponsored R&D labs in India. He has a Bachelors and Masters degree in Sanskrit(Literature and Indian Logic) from the University of Kerala in Thiruvananthapuram India Specialties: Data Science Natural Language Processing Machine Learning Big-Data Text Analytics Text Mining Semantic Web Sentiment Analysis Social Media Analytics Hadoop and Map Reduce Free and Open Source Technologies

Software Engineer / Ivy League Graduate

I'm an ivy league educated graduate with a CS degree and am currently working at one of the top tech companies in Silicon Valley. If you're looking to get into the Facebooks, the Amazons and the Googles, my job is to do whatever it takes to make sure you are as well prepared as possible. We'll start off with how much you know and we'll create an in depth plan on how we're going to get you there with how much time you're willing to spend. We'll go through all the topics including Algorithms, data structures (Linked Lists, Stacks, Queues, Priority Queues, heaps, tries, binary search trees, graphs, etc), Bitwise, Dynamic Programming, in depth on tackling backtracking problems, DFS, BFS, strings (parsing, matrix, hash tables, etc), regular expressions, two pointer problems, operating system topics and much more. We're going to use Python as it's the easiest to write code for interviews. I'll show you the shortcuts with Python and patterns that I've developed over the years of interviewing. Once I feel you have a good grasp on the knowledge, we'll move forward with mock interviews and work on the weak points.

Let me help solve your toughest problems.

I pride myself on my ability to write solid, well documented and fully tested software. With the projects that I have worked on, my software has not only needed to hold up to use by its users, it has also needed to be able to withstand scrutiny in court. As a result, I take writing quality code very seriously. Over the last few years I have worked on creating a platform to revolutionize the way that investigators (of all kinds) explore unstructured data, primarily text documents. I did this by taking advantage of the latest technologies and techniques in information retrieval and natural language processing. I also created a simple yet powerful language that allows investigators to ask deeper questions of the data. The end result of all of that effort is a system that allowed a forensic accounting team, of just two people, to go through a collection of over 500,000 documents and find emails that allowed them to receive $4,000,000 in damages for their client. The original target was only $250,000.

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