Suresh B.

Suresh B.

Data scientist with engineering background.

Chennai , India

Experience: 9 Years

Suresh

Chennai , India

Data scientist with engineering background.

25356.6 USD / Year

  • Start Date / Notice Period end date: 2022-07-29

9 Years

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About Me

          Summary

-->3 years of rich experience across multiple technologies consisting of Python, Big Data Hadoop, Machine Learning, Deep Learning, Neural Networks, Predictive analytics, data visualization.

-->Good appl...

-->Good applied statistics skills, and clear understanding of Deep Learning techniques like Recurrent Neural Networks, Text Mining using Natural Language Processing NLP, Machine Learning algorithms, such as K-Means, PCA, SVM, xgboost algorithm, Linear, Random Forests, Market Basket Analysis.

-->Experienced in handling unstructured data like text as well as structured data, JSON, BSON dump from MongoDB, Parquet file.

Education

JNTU University, Anantapur, Andra Pradesh

B.Tech-Electronics and Communication Engineering, Graduated May 2011

 

Employment History

Mphasis Pvt Ltd. , Chennai , Tamil Nadu

Associate Data scientist, February 2019 - June 2019

-->Performed Data cleaning, transformation, validation with the purpose of understanding or making conclusions from the data for decision-making purposes, Feature extraction and feature engineering.

-->Assist other team members in the identification and resolution of data issues that are impacting operation performance.

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Portfolio Projects

Fares

Company

Fares

Role

Full-Stack Developer

Description

The responsibility of this team was to develop low fares for airline systems. There are two systems set up for the interchange of fares data — ATPCO and SITA, plus some system to system direct connects. This system distributes the fare tariffs and rule sets to all GDSs and other subscribers. Inventory control is typically manipulated from here, using availability feeds to open and close classes of service. Fares & Rules assembles the different fare and fare-related data from airlines and distributes them to the different global distribution systems (GDS), revenue management and revenue accounting systems, passenger service systems, and companies who want to benefit from valuable, comprehensive data. And it does this in an industry-standard format—from one single source

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UCSD Express for Big Data

Company

UCSD Express for Big Data

Role

Full-Stack Developer

Description

The responsibility of this team was to develop  framework for Cisco UCS Director Express for Bigg Data provides a single-touch solution that automat Hadoop deployment on the Cisco UCS Common Platform Architecture (CPA) for Big Data infrastructure. It also provides a single management pane across both physical infrastructure and Hadoop software. All elements of the infrastructure are handled automatically with little user inputs

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Skills

C Language C++

Cat6k Terminator 2 platform Development and Sustaining

Company

Cat6k Terminator 2 platform Development and Sustaining

Role

Full-Stack Developer

Description

IOS(Inter network Operating System) is the operating system used in various switches and other products of CISCO. The Catalyst 6500 that works on IOS has become a flagship switch for enterprise network. The new Catalyst 6500, deployed with Supervisor Engine 2T(Sup2t) in a Virtual Switching System, scales existing chassis infrastructure to 4Tbps while delivering best-in-class feature sets -- including over 200 new features.

    The project is intended to the sustenance and feature development of IOS control plane for Catalyst 6500’s Supervisor-720, Supervisor 2T, Terminator and Transformer platforms which includes module bring up, environment monitoring, data path init etc

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Skills

C Language Linux
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Verifications

  • Profile Verified

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Preferred Language

  • English - Conversational

Available Timezones

  • Eastern Daylight [UTC -4]

  • Pacific Daylight [UTC -7]

  • Eastern European [UTC +2]

  • Greenwich Mean [UTC ±0]

  • Australian EDT [UTC +11]

  • Dubai [UTC +4]

  • New Delhi [UTC +5]

  • China (West) [UTC +6]

  • Singapore [UTC +7]

  • Hong Kong (East China) [UTC +8]