Top Data analysis Developers of May 2017
Expert Full Stack Developer
I am a founder and lead developer at ISolution Technologies. I have developed high performance and user friendly websites by using various popular technologies including but not limited to PHP, MySQL, MongoDB, WordPress, jQuery, Sphinx Search, Laravel and more.
full-stack developer ● IT architecture & strategy ● DevOps ● smokejumper
Tinkerer | Polyglot | Wanderlust
I have worked with Goldman Sachs as Intern, will be joining HFT for full time. Students can request a 33% discount ;) I am interested in Data Science, Machine Learning, System Development. Also Interested in development and analytics of systems engineering domains like virtualization, storage, file systems and operating systems.
Full Stack Software Engineer
I am a full stack software engineer who has worked on all areas of the technology stack using a variety of tools and languages. On a given day, I could be building a natural language data pipeline, architecting a series of microservices, or building a beautiful, intuitive single-page application. I am passionate about software engineering - it is incredibly rewarding to see ideas turn into software that improves our customer's lives, and it is exciting to be a part of teams that develops such software daily. When I am not programming, I enjoy coaching college debate, visiting art museums, or blogging about technology.
Ph.D Research Scholar in Data, Analytics & Cognition | Former Technical Lead at 99X Technology
I am pursuing my doctoral studies in Data Analytics & Cognition at the La Trobe University Business School. Prior, I was a software craftsman, technical lead, technology geek and the award winner as Industry Leader in Technology Category by SLASSCOM, the apex body for IT Industry in Sri Lanka in year 2016. I do best what I love most, coding and mentoring.
Python, Machine Learning, Data Engineering
I use mathematics and machine learning to analyze & explain data. When the machine doesn't learn, I do it the old-fashioned way: I use my brain and do my own learning instead. I've been working as a software engineer for the last 5-6 years. I consider my skillset to lie somewhere in the intersection between software engineering , data engineering and data science (machine learning) (that is to say, in other words front-end is not my thing). I've worked with all the cool Python libraries through the whole "data lifecycle": crawling data, queuing systems, db management, training ML models, API design and deployment management (Ansible mainly) Libraries include: Pandas, NumPy, Scikit-learn, matplotlib, Flask, python-rq, celery, requests (of course), selenium and many more. I do consider myself to a major extent a data engineer as well. I've managed mainly Hadoop clusters, MongoDB and ElasticSearch ones. Occasionally I teach corporate seminars on such topics. I'm also a huge fun of Redis and I always try to fit it in my architecture if I think it can help (it almost always can). I've also research experience on such topics and a couple of publications as well. You may have a look here http://dl.acm.org/citation.cfm?id=2627773 and http://ceur-ws.org/Vol-1558/paper38.pdf I have consulted many international companies in the areas of predictive analytics, market analysis and marketing budget allocation, mainly in the telecoms and retail industry. Occasionally, I also teach corporate courses & seminars on software engineering, data analysis and big data systems engineering.
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
Senior Software Engineer
Senior data-focused polyglot software engineer. Built several business intelligence systems + predictive analytics; used NLP + machine learning for metadata enrichment, has linguistic and cultural training, built payment processing systems, used various relational SQL databases and NoSQL. Specialties: Java, Clojure, Ruby, Python, Perl, text processing, data transformation + metadata enrichment, linguistics, automation (including DevOps), pattern recognition and machine learning. Also worked on PHP, Node.js, Backbone, AngularJS, iOS apps, and several other systems
Programmer looking for remote part-time/ contract work.
I am a junior developer with one year of experience as a Java developer at Citigroup. I worked on Price Master Central, a Java application that used an SQL database and ran on Linux servers. Linux shell scripts were used for various maintenance tasks. I also spent one year at Brooklyn Law School as a Colleague Developer, where I also acted as IT liaison for the Finance department, creating reports and answering queries about Colleague operation on request. I graduated from Allegheny College in May 2014, where I earned a Bachelor's Degree in Applied Computing - Software Development and Political Science and minored in Economics, where Java was the main language of instruction in most CS classes. During college, I interned at Rudolph Technologies as a software developer, where I used Matlab and Java Swing to create GUI tools used to analyse recorded spectroscopy data. I also have extensive knowledge of R from Computer Science classes, having implemented a distributed system on the CS department linux network to run experiments for my Senior Thesis.
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