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Hire a freelance data analyst today to help bring meaning to your data so you can make informed decisions in your business operations. A data or business analyst can help you with data collection, data entry, data mining, data modeling, data integration and descriptive statistics.
Data analysis is the process by which analysts clean, transform and model data to make information useful to a particular industry. Advanced analysts often use mathematics, pattern recognition software and statistical algorithms to extract actionable knowledge from raw data. On oDesk, the world’s largest online workplace, data analysts process data for small businesses, enterprises and professionals.
Data Analytics Job Cost Overview
Typical total cost of oDesk Data Analytics projects based on completed and fixed-price jobs.
oDesk Data Analytics Jobs Completed Quarterly
On average, 461 Data Analytics projects are completed every quarter on oDesk.
Time to Complete oDesk Data Analytics Jobs
Time needed to complete a Data Analytics project on oDesk.
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Data Analytics oDesk freelancers typically receive a client rating of 4.76.
SUMMARY OF QUALIFICATIONS Solutions-driven database administrator, providing technical support to improve queries and server performance. Unique analytical problem-solving ability. Solid knowledge of SQL SERVER administration and programming. Excellent team building, leadership, and conflict resolution and management skills ACHIEVEMENTS Resolved security issues on SQL SERVER Reestructure the database for Central America Countries Administrate and Maintenance of Central America Databases in Transunion. Implemented Disaster Recovery Model for Central America Databases in Transunion. Improve queries to reduce database deadlocks.
Born in Odessa 1982, he graduated in Mathematics in 2006 from the Technical University in Munich (Germany). Afterwards, he completed PhD in Computation Materials Science at the Delft University of Technology (Netherlands) in 2010, and worked as Scientific Programmer in the field of combustion modelling. He has gathered experience from a large number of projects covering such topics as artificial intelligence and machine learning; computer vision; data modeling; inverse problems; conducting polymers; nanomaterials; fuel cells; fatigue failure prediction; combustion modelling. He is (co)author of 12 heavily cited scientific publications.
I am a web application developer specializing in PHP/JS with 15 years experience. strong OOP knowledge, MVC etc php, mysql, html, css, less, js, coffeescript twitter bootstrap, jquery, backbone.js, angular.js ajax, json, xml C/C++/Objective-C (just for fun) load balancing, big data, high traffic data scraping, data parsing saas, soap, rpc, rest phpunit, phpspec, tdd, bdd, xdebug symfony, symfony2, zend2, doctrine2, bitrix mysql, postgre, mongo (clustering, replications) memcached, redis, rabbitmq, sphinx ubuntu/debian/centos/archlinux/osx nginx, lighthttpd, node.js, apache2 git, mercurial, svn opengl, glsl api: paypal, facebook, twitter, livejournal, vkontakte, jira, mailchimp, mandrill, zendesk, amazon aws agile/scrum: jira, redmine
*** Who am I? *** - Savvy digital marketing expert specialized in web analytics, conversion optimization, and PPC advertising. 10+ years of web analytics and digital marketing experience. - Google Analytics, Google AdWords (Google Partner status) and Bing Ads certified professional. - Learn more about my background from my LinkedIn profile http://www.linkedin.com/in/vladimirondruska *** What can I do to help you? *** - Web analytics measurement planning and implementation: Google Analytics and Universal Analytics setup, fixing tracking issues, campaign URL tagging, events, goals, conversion funnels, ecommerce tracking, cross-domain tracking, , filters, custom variables, content experiments, intelligence alerts, Google Tag Manager,... - you name it. - Custom reports and dashboards: Advanced segments, Google Analytics Core Reporting API, report integration into Google Spreadsheets, multi-channel attribution modeling,... - Data analysis and conversion optimization: Understand where your site visitors come from, what they do, why they do it and how to more out of them. Get data-driven insights for your business decisions. Build hypotheses based on your data, A/B test them, get a conversion lift. Repeat and drive continual improvement of your website performance. - PPC campaign setup, optimization and management: I am highly proficient with PPC campaign management for English speaking countries, both AdWords and Bing Ads. I have been managing dozens of PPC accounts from smaller to even 7-figure monthly budgets since 2004. *** Why me? *** - Skilled web analyst with proven track record and excellent exam results (92% in the latest version of Gooogle Analytics IQ certification, top results in relevant oDesk tests) - Strong ability to explain user behavior and suggest recommendations for conversion rate and revenue boosts. - Seasoned 5.00 star oDesker with 1500+ hours worked. I know what level of service you deserve. - Usually online and available 14 hours a day, from 8 am to 10 pm CET (UTC+01).
I have 7 years of experience in data analysis. I'm the Chief Data Scientist and founder of Cabaceo.com, a data science consulting company in Ann Arbor, Michigan, US. I also teach people how to do data science using the R programming language at www.MasterR.org, where you can receive high quality training materials for free. I used to work as an analytic consultant for FICO, where I built scorecard for Picture People to predict customer response rate to their marketing campaigns, which doubled their ROI. I also built customer segmentations for Canadian Tire Bank, which gave the executive team a holistic understanding of their customers for the first time and resulted in a chapter of a book. More recently, I have built a linear regression model to explain the relationship between interest rate of peer-to-peer loans and borrowers' characteristics using data from LendingClub, a two-level clustering-and-randomForest model to predict human physical activities using smartphone data, a logistic regression optimization based on precision and recall, a R-implementation of the cross-sectional regression and quintile-portfolio construction methods published in the Journal of Economic Literature. I have a masters degree in Biostatistics from the University of Michigan and a bachelor's degree in mathematics from New College of Florida. I'm an avid MOOC taker, constantly learning new techniques and tools in data science and machine learning. I took all the courses in data science, statistics and machine learning from Coursera, Udacity and Edx. I respond all my messages in less than 24 hours.
Project-oriented technician in a few fields of expertise: * data analysis: various data processing using few programming languages - Python, R, Wolfram Mathematica, Matlab; * typesetter: bibliography support, complex imagery, complex, multi-line equations and interprocessing data in both LaTeX and MS Word; * software developing: desktop software developing and a distinct programms to get and operate on different data; science software to model asorted physics and math models. Experienced for a 5+ years in all fields. 1+ years of public work on oDesk.
As a PhD in Computer Science, I am an experienced researcher, academic writer and data and information scientist. Over the last 12 years I have gathered an extensive experience in practising and teaching the following computer science concepts: information retrieval, data mining, machine learning, database management systems using MySQL and Oracle, native XML databases using XML, DOM and SAX, web development techniques using (X)HMTL, DHTML, PHP, and MySQL, deploying web services and service oriented architectures, and tuning Apache web server for performance, security and caching. My core competency lies in academic research, data and information science, as well as writing, proofreading and editing of research papers and thesis of all academic levels. I am seeking opportunities to offer my rich professional and academic experience for the strategic growth and developmental needs of your business. My core research interests and strengths are as follows: - Focused information retrieval - Evaluation of focused and content-oriented XML retrieval - Entity retrieval and knowledge discovery - Data mining and big data analytics - Business intelligence and predictive analytics - Time-series data forecasting - Recommendation algorithms for social/news networking sites - Native XML databases, NoSQL and relational database systems - Web servers and web technologies - Web database applications and Internet programming - Web and enterprise security