A short overview of my career: --- Over 215 hours in oDesk as an IT manager and administrator for a start-up. --- Over 6 months as an on-site IT, Network and Security consultant for the University of Virginia. --- 4 years of experience as R&D service engineer, travelled world wide to customers to handle complex issues, analyse network, db, OS, hardware and software problems, debug and provide training. --- 10 years of experience as a senior IT and Network Security engineer (attacking, defending, securing) A short overview of some of the services I provide: - On-site work. - Design and build office network. - Vulnerability and Risk assessment for your web, network and computers. - Design and implement VPN. - FW manager. - Install, design and maintenance work for Oracle, MySQL and MSSQL db's - WebEx training. - AWS design and migration. - Unix and Windows support for all versions. - Data Controllers support, setup and maintenance. - DNS issues. - Build a private cloud for your business. - Backup solutions and overview. - Netbackup problem. - CheckPoint support. - Emc support. -CyberCrime investigations. - On-call services. ... and more
Hadoop Job Cost Overview
Typical total cost of oDesk Hadoop projects based on completed and fixed-price jobs.
oDesk Hadoop Jobs Completed Quarterly
On average, 22 Hadoop projects are completed every quarter on oDesk.
Time to Complete oDesk Hadoop Jobs
Time needed to complete a Hadoop project on oDesk.
Average Hadoop Freelancer Feedback Score
Hadoop oDesk freelancers typically receive a client rating of 4.75.
Over the last 8 years, I have designed and developed business intelligence solutions for mid-sized business up to Fortune 500 companies and large non-profits, including EDS (now HP), Trinity Rail Industries, Blue Cross Blue Shield of Texas, and Digital Realty Trust. My core competency is in the Microsoft BI Stack, including Analysis Services (OLAP/MDX), SQL Server, Reporting Services, and Integration Services. I also have expertise in a wide range of popular dashboard suites, including Tableau, QlikView, Proclarity and Performance Point, IBM Alphablox, Panorama, Report Portal, Executive Viewer, Cognos, MicroStrategy,Pervasive,Talend, Informatica ,Hyperion and Hadoop. I pride myself in a principaled practical approach to solving business problems that focuses on results, simplicity and maintainability.
Business Intelligence professional with more than 7 years of experience in working with variety of Business Intelligence tools like Business Objects and Tableau. Extremely good at Tableau and Business Objects. Worked with best companies in the world and successfully implemented Business Objects and Tableau for them at different points of time. Good at communication and technical skills.
Madhava Mahishi Agency Contractor
Delivered working BI solutions using Pentaho ETL, CDE/CDF/Ctools & Reports. Worked well with AWS services: EC2, EBS, Redshift, RDS, etc. Designed and implemented Datawarehouse and Datamarts. Cloudera Certified Hadoop Administrator (CDH4) - Successfully delivered Hadoop solutions.
Muhammad usman A. Agency Contractor
To provide best in class consulting services to the clients in Business Intelligence (BI) and Data-warehousing domain. My expertise is in following tools: Teradata V2R5/12 Microstrategy - MSTR (8, 9) Qlikview (8, 9) Cognos (7, 8.4) Tableau Business Objects (XIR2, XIR3) Microsoft SSAS / SSRS / SSIS SAS Teradata CRM and Teradata Miner Microsoft Dynamics CRM Pentaho Over the past 11 years, I have been working for three industry leader companies in BI and data-warehousing field. With these companies, I have worked on large scale Business Intelligence and data-warehousing projects in Europe. I have been working for different companies in Telecom, Banking, Finance, Insurance, Airline and Manufacturing industries. I can act as any of the following roles, End-to-End BI and data-warehouse Solution implementation expert, BI Project Concepting, BI Semantic layer Design, BI Reports/Dashboards/Scorecards design and development, Project Management, Business Analyst, BI KPIs Modeling, ETL development, Agile Scrum Master. Certifications: Certified Business Intelligence Professional (CBIP), Certified Cognos Modeler version 8/8.4, Business Objects Certified Professional (Level-2), Teradata Certified Master V2R5, Microstrategy Certified Engineer, ITIL Foundation certification, SAS Base certified, Scrum Master certified from Scrum Alliance.
Consultant with experience in Big Data Technologies and information systems management, excellent personal relations and great learning capabilities, international experience in working and leading very diverse teams with different cultures and languages.
I am a successful data scientist with an academic background in Applied Mathematics as well as Computer science, and professional experience in quantitative finance, healthcare, (social) network analysis, and politics. Drawing on my technical skills, knowledge of statistical and computational principles, and real world experience, I provide high-quality data services: prediction, explanation, visualization, collection, and deployment. I have recently been involved with a number of interesting projects and competitions, including two top 10% results in Kaggle competitions, a model to predict individual's voting behavior in the US, a novel purely-functional python web scraper implementation, winning an energy consumption data science competition, collaborating with a healthcare startup to apply both supervised and unsupervised machine learning methods to health insurance data, and as a finance quant implementing machine learning methods to develop long-term investment strategies that managed millions of dollars. These projects highlight my diverse skill-set that encompass the full data science stack, from data engineering to web scraping, and from predictive modeling to data visualization. For data engineering and data pipeline/infrastructure development, I have experience with a number of tools, including Hadoop, mongodb, Spark, Lucene for search, and Nutch for when scraping needs to be scalable. For building data collection systems, I use python's BeautifulSoup for highly specified scraping projects, and requests with gevent for projects that necessitate multithreaded code. Data science necessarily involves a large amount of data wrangling and cleaning, for which I rely heavily on python's pandas library as well as unix command line tools. For predictive modeling and descriptive analysis (unsupervised learning), I implement both machine learning methods and traditional statistics techniques: convolutional neural nets for image processing, recurrent neural nets for highly chaotic time series data, Hidden Markov Models for repetitive sequences, Random Forest or Gradient Boosted Machines for homogenous data, and AR(I)MA for classic econometrics. To create static charts and graphs, I prefer R's ggplot library. However, for interactive visualizations I swear by d3 and its' derivatives, as well as Leaflet for mapping. Lastly, I typically use Django or Flask for web development, but am comfortable with Node as well.