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Data Engineer

Location:
Dallas, TX
Salary:
75000
Posted:
April 09, 2019

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Resume:

Syed Riazudeen Shahabudeen

ac81t3@r.postjobfree.com +1-214-***-**** linkedin.com/in/syedriazudeen

EDUCATION

The University of Texas at Dallas May 2019

M.S, Information Technology and Management

Anna University - May 2015

B.E, Electrical & Electronics

TECHNICAL SKILLS

Languages: SQL, UNIX Shell Scripting, R Programming, HTML & CSS, SAS

Tools: MS Excel(Advanced), Tableau, SAS (Enterprise Miner & Base), R Studio, MS Office, MS Visio, Pivot Tables, Putty

Databases: Oracle DB (Toad), MS SQL Server, MySQL, MS Access

Analytical Skills: Data Mining, Data Visualization, Data Modeling, Data Management

Certifications: Oracle WebLogic Server (11g & 12c) Administrator

BUSINESS EXPERIENCE

SoftClouds LLC, San Diego, CA – Data Analyst Intern June 2018 – July 2018 (2 months)

Worked on a Research project to Design a Predictive model that predicts the health of the server using the server log data

Created dashboards using Tableau to visualize log behaviour over a period of 2 months

Analysed large sets of data after incorporating data pre-processing to determine the initial relationship within data

Gained Hands-on experience in Applied Machine learning using Python and R by designing predictive models to the dataset provided as sample

Presented a Brown bag seminar on How Data Science techniques are used in managing and efficient usage of CRM data

Worked on the functionalities of Oracle Sales Cloud and learned the process of Campaign – Lead – Opportunity management

Researched on the CRM methodologies and technologies used to enhance customer experience and customer relations resulting in better business processes

Accenture Solutions, India - Software Engineer June 2015 – July 2017

Database Administrator – Pfizer (Finance & Business Operations)

Supervised DB locks, analysed long running sessions and troubleshooted connection issues on Pfizer Oracle DB

Fabricated monthly Purge reports on jobs involving critical transactional data using Unix shell scripting

Maintained Pfizer Oracle DB users & privileges and created Quarterly DB Audit reports for the same

Built SQL queries and procedures to manage databases, monitor job flow and submit status reports to clients

Application Engineer – Pfizer (Finance & Business Operations)

Oracle WebLogic 11g Administrator – Created and configured data sources and JMS bridges to establish data connectivity between applications and databases

Automated the process of archiving old files and rebooting servers using UNIX shell script

Administered application servers and DBs as a Middleware SOA suite administrator supporting 1000+ interfaces

Migrated WebLogic 11g to WebLogic 12c – Set up several environments to facilitate stages of testing involving Development, Integration, Pre-production, Post Fix and going live for production

Provided acute production support for scheduled jobs, critical weekly incremental job updates and troubleshooting the issues within SLA

Configured automated reports and notifications on critical & scheduled jobs in Automic One

ACADEMIC PROECTS

Data Management August 2017 – December 2017.

Using SQL Created a Normalised database for the app (Wunderlist). The relationships between each entities of the application were evaluated, and the database was designed to extract data efficiently

Framed ERDs using MS Visio to setup the initial relationships between each entity

Business Data mining with SAS August 2017 – December 2017

Designed a regression model using SAS Enterprise Miner and predicted the future sale price value of the building property in New York City with an accuracy of 64%

Pre-Processed the dataset meticulously to eradicate missing values and erroneous data.

Data Visualization January 2018 – April 2018

The objective of this project is to represent data visually and extract useful information. The data set is from the World Bank, collected as part of a pilot study on the feasibility of crowd-sourced price data collection

Created dashboards and stories using Tableau, D3 and Qlikview showcasing Price variation by country & Timeline of price fluctuation incorporating business data warehouse concepts in the realm of data visualization



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