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Rashid Ather Deshmukh
GitHub

Rashid Ather Deshmukh

@RashidAther

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About

Hadoop and Kafka Admin

Followers 4
Following 2
Public Repositories 7
Expertise

Skills & Technologies

Shell Jupyter Notebook
GitHub Work

Projects & Repositories

Recent public projects and repositories from this profile.

My_Ecosystem

Shell

Hadoop ecosytems: Flume, Hive, Sqoop, Spark ; Kafka: Apache Kafka and Confluent Kafka ; Streamset with Kafka ; Erasure Coding ; Admin Tasks.

⭐ 0 Forks: 0

My_Security

Security and Authorization by MIT Kerberos, Sentry, Encryption (at rest), KMS, ACL, Sticky bits, User onboarding, AD Kerberos,Hue with LDAP.

⭐ 0 Forks: 1
Repository View Project

My_Hadoop_repo

Apache hadoop 1, 2 and 3 ; CDH-5&6 ; Cloudera Production ; Cloudera Upgrade ; CDP ; Hadoop Benchmarking ; Cloudera Director.

⭐ 0 Forks: 2
Repository View Project

My_Cloud_AWS

Shell

This repository contains AWS cloud scripts and EMR

⭐ 0 Forks: 0

Telecome-Deliquency-Prediction

Jupyter Notebook

Delinquency Telecom Model Definition: Delinquency is a condition that arises when an activity or situation does not occur at its scheduled (or expected) date i.e., it occurs later than expected. Use Case: Many donors, experts, and microfinance institutions (MFI) have become convinced that using mobile financial services (MFS) is more convenient and efficient, and less costly, than the traditional high-touch model for delivering microfinance services. MFS becomes especially useful when targeting the unbanked poor living in remote areas. The implementation of MFS, though, has been uneven with both significant challenges and successes. One of our Client in Telecom collaborates with an MFI to provide micro-credit on mobile balances to be paid back in 5 days. The Consumer is believed to be delinquent if he deviates from the path of paying back the loaned amount within 5 days.

⭐ 0 Forks: 0
Jupyter Notebook View Project

Bengaluru-Real-Estate-Price-Prediction

Jupyter Notebook

In Bengaluru, I had identified the different factors affecting the cost and made a model to predict the prices.

⭐ 0 Forks: 0
Jupyter Notebook View Project