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I've built data pipeline using Apache Spark, Hadoop & scikit-learn & I've done data munging - cleaning up of the data for processing, feature engineering as well as creating ML model with the clean & transformed data. I've solved ML both supervised & unsupervised ML. using Python, Scala & R. Additionally, I've done sentiment analysis, text analysis, & ML projects. As I was the only engineer in my team & picked up required technology like Hadoop, Apache Spark on my own & evaluated Python, R & Scala programming language. Automate the Sales Credit Allocation for the sales transaction. Nearly 5% of X million sales transactions need to be manually allocated to the right Sales Account Team f...

collaborative computing hadoop networking apache mahout association rule clustering data mining

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Presentaciones

Kenneth Lay

Time Series Forecasting

Time Series Forecasting for Google Inc. and Break-even analysis for Google glass.

Clustering and Association Rule

Network Intrusion Detection Analysis using Random Forest Algorithm on Apache Mahout

mobile case_presentation_byod_dey_sushmita

Colloborative computing

Big data

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Network Intrusion Detection Analysis using Random Forest Algorithm on Apache Mahout

Clustering and Association Rule

Time Series Forecasting for Google Inc. and Break-even analysis for Google glass.