RPA Developer Resume Example

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Steven Scott

RPA/ML Developer

Summary

Experience in the field of RPA (AA), Workflow Automation and Cloud Computing with a working knowledge in Hybrid Cloud solutions (IaaS,SaaS,PaaS).Ability to use (data) statistics and Machine learning to find complex data patterns that drive meaningful impact on the business.

Skills

  • RPA – Automation Anywhere 11x
  • DevOps & Workflow Automation
  • Python, PowerShell, VB, HTA
  • SNOW, Nagios, JIRA, Alteryx, iClick
  • SQL Server 2008,Graph DB

Work Experience

RPA Developer

Goldman Sachs

Present

  • Worked in the integration team to provide various automation solutions for Manual/RunBook based tasks taken by PE’s (L1,L2,L3) by using the following:
    • RPA (Automation Anywhere 11.3x):
      • Leading the RPA team for ABO by onboarding/requirement gathering and driving awarness initiatives across the Business(Ops).
      • Worked on  

Cloud Consultant

HPE

May 2018

  • Provide end to end infrastructure automatin and Cloud automation solutions through tools such as HP CSA, HP OO, HP SA, HP NA as well as various scripting languages like Python, Perl, PowerShell, JS, VB, HTA, Batch, Bash.
  • Worked on complete End to End Automation for VMs(Wndows,Linus X64,X86) architecture which also includes workflow orchestration activities.
  • Tools used: HP Cloud, HP CSA, HP OO, HP SA, HP Cloud Optimizer, Vsphere 5x/6x/ 

Automation Engineer

Infosys

Aug 2016

  • Reduce manual efforts by automating manual daily checks, scheduled activities, maintenance and issue troubleshooting for L1, L2 & L3 activities on 6 platforms namely Unix, Windows, Storage,, Backup, DB, Network & Voice Infrastructure Systems.
  • RunBook Automation using various orchestration workflow tools like iConclude & HRS.
  • Develp & Deploy standalone custom infrastructure automation scripts in the following scripting languages like Python2x/3x, Perl,  PowerShell 4.0, Groovy.

Education

Bachelors of Technology – Electronics & Telecommunication

San Jose State University

Jul 2014


Project

Stock Price Prediction

JP Morgan Asset Management – Florida

Sep 2016

Use the Sentiment Analysis Algorithms to understand the stock sentiments. 

Project: Twitter Sentiment Analysis 

Tools: NLTK, Python 

Algorithms: Sentiment Analysis

Stock Recommender Systems

JP Morgan Asset Management – Florida

Aug 2015

Recommender systems have become the most popular feature of the stock market. We have developed a artificial intelegint stock recommender tool using the Deep Neural Networks and classification algorithms 

Tools: Python, sklearn

Algorithms: Deep Neural Networks, classification algorithms

Customer Support System

Data Scientist

May 2016

Customer support has become a challenging job for every business. We build a “customer support system” to address and support the needs of the customers. 

Tools: OpenCV, Python 

Algorithms: Convolution Neural Network and other facial detection algorithms

Languages

  • English
  • French
  • Arabic
  • German

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