Top Senior R Developers - Nov 2017

CTO/Deep learning Researcher (NLP) @ Neuron

I am the CTO/Deep Learning Researcher(NLP) at Neuron and supervise the research and development work of Neuron's core NLP platform. Area of work: - Deep Learning in NLP - Recurrent/Recursive Neural Nets, Convolutional Neural Nets, Attention Networks - Sequence Labelling, Sentence Classification, Auto encoders, Encoder-Decoder Models, Sentence Embeddings, Predictive Statistical Modelling - Machine Learning - Regression, Ensemble Learning, Neural Nets, Recommendation Systems Interested in working with: - Memory Networks - Deep Reinforcement Learning - Deep Generative Models - Optimization methods for DNNs - Deep Learning for Computer Vision

I'm an artificial intelligence researcher during my day job. Besides that, I help people with D3.js. I am one of the top answerers on Stackoverflow on all things D3.

I like solving problems with code and data.

My personal website is https://otrenav.com I'm a co-founder at Datata http://datata.mx Research assistant at ITAM https://itam.mx

Data Scientist

Experienced data enthusiast, with strong interest in applications of Deep learning and in particular in NLP.

Solve your problems

3 years machine learning experience. 14 years software development experience. Deep Learning Foundation Nanodegree (Udacity) graduate Familiar with machine learning and deep learning techniques, libraries and toolkits. Familiar with scikit-learn, tensorflow, keras, nltk https://www.kaggle.com/maggiezhou I have participated in some Kaggle competitions: Home Depot Product Search Relevance, placed 59th/2125 (top 3%) Allstate Purchase Prediction Challenge, placed 94th/1568 (top 6%) Homesite Quote Conversion, placed 158th/1764 (top 9%) Acquire Valued Shoppers Challenge, placed 89th/952 (top 10%) Rossman Store Sales, placed 480th/3303 (top 15%) Otto Group Product Classification Challenge, placed 532th/3514 (top 16%)

Mentor, Leader and Catalyst

I provide mentoring, training and leading services to small companies and start-ups around the country as well as providing business advice and acting as a catalyst specializing in solving problems that no one else can. I am an expert if a variety of languages, frameworks and services. Ask me anything.

Full Metal Ops guy with coding affinity, practising and evangelizing hate driven development.

Mainly experienced in system engineering and IT architecture I became a Python evangelist over time and created some great software projects with my colleagues over the years and over many companies. I have very high-quality standards for myself and only sleep well when I know that I have done my best. And I usually sleep like a baby. Since DevOps and Infrastructure as Code, developers need more and more operation skills and vice versa. Feeling at home in both areas I can also contribute to both, especially with my experience in setting up company-wide continuous deployment pipelines.

Full stack machine learning engineer

I make computer clever. I consider myself full stack because I'm able to derive insight and demonstrate a gain in the lab, then deploy and operationalize in production using best software engineering practice and finally monitor and improve the model once in production.

Oxbridge Educated Scientist and Researcher With a Passion for Doing and Teaching Data Analysis

I am a PhD graduate from Cambridge University where I specialized in Tropical/Computational Ecology. I also hold an MPhil degree in Geography and Environment from Oxford University.I am also a Data Scientist as a result of my training and prowess in both statistics and machine learning. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining (using R and Python).I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Stanford online). Additionally I have published several peer reviewed papers and mentored several postgraduate students in these topics. I have a passion for these topics and greater passion of sharing my knowledge!!

Data Science | Data Engineering | Architecture | Web Development | Python | Java "Scala| R

I have worked on the web and big data projects. Helped organisations to build ETL tools and data science pipelines using JVM based languages and Hadoop ecosystem. I have also worked on REST based architectures and build systems to handle thousands of requests.

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