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EXPLORE
0.5
0.5
100%
$15 USD / Hour
・
India (10:14 AM)
・
Joined on November 1, 2007
・
1 Recommendation
$15 USD / Hour
・
• 20 years of Total experience in IT Industry. • Implemented Customized IVR, PABX on the cloud • Certified in R Programming • Certified in Big Data Concepts • Participated in Machine Learning Competition(Code Gladiators) and achieved 10th rank. • Experienced in Classification & Regression problems. • Experienced in model optimization and performance improvement. • Experienced in Data Exploration, Data Mining, Data Cleansing, Feature Engineering and various statistical tests. • Worked on IBM Watson, Watson Knowledge Studio and IBM BlueMix platform. • Experienced in Intelligence and reporting tools - Qliksense, PowerBI, SSRS and ggplot in R. • Dual Certified in Lotus Domino • Post Graduate in Computer Science • Working as freelance consultant from last 8 years. • Working as a freelance consultant for various companies. • Like new challenges. • Provide professional corporate and online technical training in various technologies from the last 8 years.
Atin delivered great work, quickly and on time!
Jonathan A.
@thebikeman
•
Lethbridge, Canada
•
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Publications
Vehicle Accident report analysis and creation using IBM Watson
Project requirement was to develop a machine learning model using IBM Watson Knowledge Studio and IBM Bluemix. Assist the assessor in vehicle accident report analysis and creation by doing the pre-annotations.
Data Analysis for Recruitment Team using R
✓ A new reporting solution for client’s recruitment team using exploratory analysis with R programming. My role was to find insights and propose ways to improve the overall system. ✓ Trends/Distribution of requirements as per type of employment, i.e. contractual and permanent. ✓ Trends/Distribution of jobs published by Jobsite, Jobserve and other recruitment sites ✓ Role wise trends for advertisements ✓ Continuous support for changes required.
Outlook Spam e-mail Detection
✓ Used Outlook e-mail data for e-mail spam collection. ✓ Data cleansing to exclude unwanted and common texts/words. ✓ Data preparation using corpus, DocumentTermMatrix. ✓ Data exploration through wordclouds. ✓ Model creation though Naïve Bayes Classificaion
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100%
Accept rate
50%
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