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Machine learning Job Cost Overview

Typical total cost of Upwork Machine learning projects based on completed and fixed-price jobs.

Upwork Machine learning Jobs Completed Quarterly

On average, 37 Machine learning projects are completed every quarter on Upwork.


Time to Complete Upwork Machine learning Jobs

Time needed to complete a Machine learning project on Upwork.

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Machine learning Upwork freelancers typically receive a client rating of 4.63.

Last updated: October 1, 2015
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Alexey Karnachev

Alexey Karnachev

Computer scientist with programming skills


I have experience in machine learning field, applied ML algorithms for social and technical data analysis.Engaged in system monitoring and abnormal conditions detection. Also, have a good skills in programming (R, Python, Java). Develop web crawlers for different purposes.

$7.00 /hr
0 hours

Vinay Sawant

Vinay Sawant

BigData Hadoop Developer/Analyst/Data Scientist

India - Tests: 1

• BigData Hadoop Certified • Certifcation of HBase by IBM from BigDataUniversity. • Certifcation of Data Analysis using R from BigDataUniversity. • IBM Pig Certified from BigDataUniversity • IBM Hive Certified from BigDataUniversity • JAQL Certified by IBM from BigDataUniversity. • Knowledge in Big Data Hadoop and its components like HDFS, Map Reduce, Apache Pig,Hive, Sqoop, and HBase,Phoenix. • Knowledge of Setting up Hadoop Cluster (Single and Multi Node in Ubuntu) • Knowledge of installing writing the Pig scripts to reduce the job execution time • Currently pursuing Certification course of Data Science from Coursera • Currently pursuing Certification course of Machine Learning from Coursera by AndrewNG • Currently pursuing Certification course 15.071X, THE ANALYTICS EDGE- Analytics! • Currently pursuing Certification course of Practical Machine learning from Coursera

$13.33 /hr
32 hours

Navdeep Singh

Navdeep Singh

Data science and technology

United Kingdom - Tests: 4

I take on interesting and challenges projects of a quantitative and analytical nature on an ad-hoc basis. I quickly understand the elements of complex problems, and design and deliver detail-oriented solutions. I have held quantitative roles in credit risk modelling, systematic trading in equities and FX, and portfolio management. My professional and research interests are applied statistics and machine learning. * Several years finance industry experience as a quantitative researcher * Experience of delivering professional quality reports and presentations * Strong academic background in applied statistics, mathematics and computer science * Advanced knowledge of R, Matlab, C#, Java, VB, Excel and SQL * Experience with handling and analysing large data sets * Familiarity with many statistical and machine learning techniques including regression, classification and time series forecasting * Solid grounding in frequentist and Bayesian theory, probability theory and simulation methods * Grounding in software engineering and object oriented principles

91% Job Success
$79.99 /hr
5 hours

Hendry K.

Hendry K.

SAP BW Consultant | BI Consultant

Indonesia - Tests: 6 - Portfolio: 1

I'm familiar with C#.NET, Java, C/C++, and PHP programming. Specialized in developing intelligent system with Computer Vision and Machine Learning. Experienced in desktop application, website development, Relational Database Design and Application (MsSQL & MySQL), SAP BW, SAP BO, SAP ECC MM Module Solid experiences in managing & troubleshooting Windows XP, Windows Server 2003, Windows Server 2008 and Windows 7 as System Administrator

100% Job Success
$20.00 /hr
3,830 hours

Pranav Verma

Pranav Verma

Big Data: Spark, Data Science: Python, BI: MicroStrategy

India - Tests: 1 - Portfolio: 14

Pranav is a data person helping enterprise, small business, and startups solving their data problems at scale. Graduate from Indian Institute of Technology, IIT Guwhati, carries 12 years of significant experience working on data engineering and data science. Pranav had been associated with esteemed businesses including Invitation Homes, Kaiser Permanente, Zurich Financial Services, Hughes Depot Supply, Boeing, Nielsen, Adap TV, Ecolab, CNA Financial, to name very few in list. OFFERING ------------- 1. Data Ingestion - Ingesting data from variety of sources to a big data ecosystem. - Data sources can be operational systems (CRM, ERP, SCM, CMS), Databases (Relational, NO SQL), Streaming (Machine Logs, Social Media, Event Processing), Files (Word, Excel, CSV, PDF, Text) - Big Data ecosystem can be Apache Hadoop or Apache Spark 2. Data Scale - Moving data to a big data ecosystem - Parallel processing through Apache Spark - Storing data to NO SQL databases for pre-processing 3. Data Wrangling - Data Lake development including data pipelines - Pre-processing tasks including data parsing, data profiling, data shaping, data inferencing, data enrichment, data harmonization, data cleansing, data transformation, data combining 4. Data Context - Natural Language Processing of un-structured and multi-structured data Entity selection, Featurization, Part-of-Speech, Lemmatization, Stemming, TF- IDF, Scoring - Entity Resolution, Linked Data, Semantic Web, Third Party enrichment, Ontology, knowledge graph, Word Disambiguation 5. Data Exploration - Exploratory data analysis to summarize dataset characteristics - Mining the hidden patterns in data - Statistical analysis concluding right analytical model 6. Data Analytics - Build a machine learning model meeting requirements - Validating and Testing the data model prepared 7. Data Communication - Analyzing results via Visualization, D3.JS or Tableau - Providing actionable insights through automation SKILLS --------- 1. Framework: Apache Hadoop (MapReduce, YARN, HDFS) 2. Distributed Programming: Apache Spark - Parallel processing of large scale data, batch or streaming - In-memory computation of big data in seconds or less - Machine learning implementation - Graph data analysis - Realtime streaming - Processing in Python, Scala, and R 3. Key Map Data Mode: Apache HBase, Apache Cassandra 4. Key Value Data: Reddis 5. Graph Database: Apache Giraph, Neo4J 6. Document Data Model: MongoDB 7. Data Ingestion: Apache Flume, Apache Sqoop 8. SQL-like Processing: Apache Hive, Apache Impala 9. Message Oriented Middleware: Apache Kafka, RabbitMQ 10. Service Programming: Apache Avro, Apache Zookeer 11. Scheduling: Apache Oozie 12. Applications: Apache Nutch, Apache Tika 13. Search Engine Framework: Apache Solr, Apache Lucene 14. Data Visualization: D3.JS, Tableau, Qlikview, MicroStrategy 15. Distribution: Cloudera, HortonWorks, MapR, Pivotal SPECIALITY --------------- 1. Marketing Data Handling marketing automation, CRM data, POS data, click-through data, social media, second & third party data 2. Marketing Analytics - Customer Loyalty - Customer Churn - Customer Segmentation - Upsell/ Cross-sell - Discount Targeting - Customer Behavior 3. Marketing Application Data Management Platform, DMP for marketers, publishers, & agencies Communication ============= I possess excellent English skills and and use Skype/ TeamViewer/ GotoMeeting/ to communicate with my clients on Upwork. Availability ========= Available from 9:30 AM (IST) to 1:00 AM (IST) for my clients from different time zones. Contact ====== Please send your queries to or Skype at vpranav121

58% Job Success
$55.00 /hr
3,020 hours

Sahana Sen

Sahana Sen Agency Contractor

Data analytics expert with experience in web scraping

India - Tests: 3 - Portfolio: 8

With the explosion of data generated via apps and over the internet platforms, ​ the need for data scientists to analyse and make sense of the data arises. Our team here at iMerit is dedicated to providing high-quality data services. Please find the details of iMerit below: iMerit is the first Human-Empowered Computing company created to deliver digital services while also effecting positive social and economic change. iMerit specializes in delivering high value, high accuracy digital services to a global client base. The main service areas are Data Curation, Cloud Services, Digital Publishing and Machine Learning. iMerit is an international company funded by international investors which include Omidyar Network (led by founders of eBay) and the World Bank. To view examples of our success stories please visit the following links: ​Customer testimonial: Carol Bothwell (ex-CIO of CRS, a $270 million NGO): For details of our services please visit: iMerit is led by CEO Radha Basu, who led the IPO of and who was General Manager of Hewlett Packard’s $1.5 billion channel business. iMerit’s President DD Ganguly is a serial entrepreneur who founded and led AIM Inc (Acquired by CA Tech) & (acquired by CMO Dominic Johnson founded four companies of which two went public. iMerit customers include Catholic Relief Services (a $270 million nonprofit), Aptara, and dozens of high profile tech companies. To view the detailed list of our clients please visit: To see the latest news on iMerit please visit:

Associated with: iMerit Technology Services

$3.33 /hr
0 hours