Imej profil juandoso1
Ahli semenjak 7 Oktober 2015
2 Cadangan


Dalam Talian Luar Talian
I'm a freelance machine learning, deep learning, and data science specialist with 4 years experience developing data science products and predictive models in multiple fields including healthcare, retail, utilities infrastructure, and academic research. I also have experience working with cloud computing infrastructure for data processing In 2017 I won the first place on the CrowdANALYTIX Identifying Themes from Mobile Case Images image classification contest! (More details below in the portfolio) I prefer to work on long-term and hourly projects, but I'm open to working on interesting projects of all sizes. Also, I love to work on scientific projects, and I can give you a discount if you are a graduate student with a limited budget needing help with your thesis or paper, as I have experience in the academia: I have taught an introductory graduate course on machine learning, and advised and collaborated on several theses on data analysis.
$29 USD/hr
14 ulasan
  • 100%Kerja Diselesai
  • 95%Mengikut Bajet
  • 100%Tepat Pada Masa
  • 17%Kadar Ulang Upah


Ulasan Terkini

  • Imej Salman A. Hire a Programmer $857.47 USD

    “The best freelancer that is out there. I'm very satisfied with the work this freelancer did. He has very god understanding when it comes to machine learning and programming using python... [16 February, 2017] Good communication! And knows what he is doing.”

  • Imej David Z. Project for juandoso1 $58.00 USD

    “Provide great support for all of my data mining questions!”

  • Imej Marc M. I would like to hire a Python Developer €500.00 EUR

    “He was efficient and did a great job, even though it took a little longer than expected it was a really good job.”

  • Imej Igor M. Project for juandoso1 $1049.66 USD

    “Excellent work and communication. Great knowledge. I will continue to work with this freelancer on future projects.”

  • Imej Hamburger J. CBR (case based reasoning) - Need Expert on ML and Algos and/or Statistics €71.32 EUR

    “cost-benefit ratio questionable. I would have wished some more effort for some 20$/h. I gave clear 15 questions and an attitude that he could ask everything on the go. Didnt do it and ran in some different direction. Communication in this aspect could have been better. Thanks anyways. But in the end for the money the insights provided were quite shallow.”

  • Imej Anup J. Project for juandoso1 $243.58 USD

    “Excellent work, professional, quick responses and very good knowledge. will definitely work with him again. [30 May, 2016] Would hire again. good assistance”


Machine​ ​Learning​ ​and​ ​Big​ ​Data​ ​Engineer

Dec 2017 - Sep 2018 (9 months)

I helped to​​ ​make​ ​sense​ ​of​ ​​data​ ​​gather​ed ​from​ ​YouTube​,​ by creating​ ​Machine Learning​ ​models and​ ​Big​ ​Data​ ​analytic flows on cloud services, responding to specific client needs and helping to create the infrastructure for the company's strategic vision


Oct 2015

Freelancer Data Analyst

Assistant Instructor

Jan 2015 - Jun 2015 (5 months)

Designer and instructor of the course “Introduction to Machine Learning”, an introductory graduate course.

Research Assistant Instructor

Aug 2005 - Aug 2011 (6 years)

Researcher at several R&D projects in the areas: Wireless Network propagation prediction, Network security, and High-Performance computing. Designer and instructor of the course “Mobile Apps”


Advanced Statistics for the Life Sciences (PH525.3x) (2015)

edX, HarvardX

We will cover statistical techniques commonly used in the analysis of high throughput data. This includes inference in the context of high-throughput data, distance and clustering for high-dimensional data, dimension reduction, machine learning, modeling including empirical Bayes and hierarchical models and advanced exploratory data analysis.

Introduction to Recommender Systems (2015)

Coursera, University of Minnesota

Recommender systems have changed the way people find products, information, and even other people. They study patterns of behavior to know what someone will prefer from among a collection of things he has never experienced. The algorithms we will study include content-based filtering, user-user collaborative filtering, item-item collaborative filtering, dimensionality reduction, and interactive critique-based recommenders.

Specialization: Deep Learning (2018)


The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology and to understand the capability, the challenges, and the consequences of the rise of deep learning. Through five interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.)

Specialization: Applied Data Science with Python (2017)

Coursera, University of Michigan

The 5 courses in this University of Michigan specialization introduce learners to data science through the Python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, and text analysis techniques to gain new insight into their data.

Specialization: Machine Learning (2017)

Coursera, University of Washington

This Specialization from researchers at the University of Washington introduces to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, the student gains applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval, and learns to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data

Data Science Ethics (2019)

EdX, University of Michigan

This course focuses on ethics specifically related to data science and will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws. Through this you course you will learn who owns data, how we value different aspects of privacy, how we get informed consent, and what it means to be fair


Perspectives of UnaCloud: An Opportunistic Cloud Computing Solution For Facilitating Research

This paper presents UnaCloud, an opportunistic Infraestructure as a Service implementation oriented to academic and research institutions, where the IaaS model is supported through the opportunistic use of idle computing resources available in the institution campus, providing researchers with significant and low cost computing capabilities.

Evaluación de una solución de renderizado distribuido en las salas de cómputo de la Universidad ...

This article presents the results of an evaluation made in the Universidad Icesi to find solutions to the bottlenecks and long rendering times affecting the Design students while working with commercial design packages during their courses. In particular, commercial render farm managers are evaluated, and a proof-of-concept render farm manager based in open source opportunistic computation software is developed.

Functionality, reliability and adaptability improvements to the OSSIM information security console

Security consoles are among the most widely deployed tools for information security management in today's organizations. This article summarizes our research, in order to incorporate several enhancements to the OSSIM information security console. Such enhancements include integration with physical security control devices, automatic creation of correlation directives for OSSIM's correlation engine, and a significant improvement in information capture reliability on high-traffic networks

A Simple Tool for 802.11 WLAN Access Points Automatic Location

In this paper, we will show the development process and the results obtained with a Java based tool for automatic location of WLAN Access Points. We will describe the algorithm developed and the results obtained until the time we wrote the paper. Also we will discuss future work and possible evolution for the tool


  • US English Level 1
  • Python Level 1


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