Shaik Imran

813-***-**** Email:acyl06@r.postjobfree.com LinkedIn:imran-shaik-875b33b2/ Github:imranshaikmuma

Objective: To secure Python developer position at Matterport

Education:

Muma School of Business, University of South Florida, Tampa FL

Master of Science in Business Analytics and Information Systems (MIS)(GPA:3.91) Expected Graduation: Dec 2017

Introduction to Big Data Coursera

R Programming Coursera

Getting started with Python Coursera

Python Data Structures Coursera

Using Python to access web data Coursera

Statistics Coursera

Relevant Coursework:

Data Mining Advanced Database Administration Distributed information systems

Statistical Data Mining Advance System Analysis and Design Big Data and E commerce

Bachelors of Engineering, Electrical and Electronics Engineering, Andhra University (GPA: 7.67/10) May 2012

Projects: -

IBM Bluemix Personality Insights Fall 2016

Worked on personality insights service on IBM Bluemix platform.

Automated the personality insights service for so many documents using Python

Analyzed these documents using the service through percentages and sampling errors for BIG 5, Needs and Values

OpenCV Image Analysis using Python Fall 2016

Created haar cascades for detecting objects like watch in video or images

Boundaries of objects are detected and its area is calculated

Worked with OpenCV parameters to edit, copy, draw figures on identified objects in video stream

Statistical Text Mining Fall 2016

Analyzed sentiments of customers on twitter for Airline data

Applied decision tree and Naïve Bayes algorithms on the data and compared its performance

Structured the data by creating term by document matrix, weighing the matrix and performed dimensionality reduction

Finally classified the tweet as either Complaint or Not-complaint for tweets belonging to different airlines

Skills

Core skills: Python, R programming, OpenCV, Machine learning, Data Munging, Data Mining, Deep learning, Tensor flow, Weka, Rapid Miner, SAS miner, JSON, Regression, Classification, Neural networks, Clustering, Naïve Bayes, Scikit-learn, Pivot tables, Lookup, SQL, Semi-supervised learning, Modeling, HDFS, Map-reduce

Web development: HTML5, Polymer, npm, bower, CSS, JavaScript

Databases: Oracle, DB2

Tools: Eclipse, MS-Office, Argo UML, MS-Excel(advanced), MS-Word(advanced), Power point, MS-Visio, Outlook

Development methodologies, related tools: Agile, Scrum, Waterfall

Others: Virtual machines, Java, Tableau, AWS, REST, Electrical & Electronics Engineering, Mainframes, Big data

Related Experience

Systems engineer (Bank of America) Tata Consultancy Services Limited, Hyderabad, India Oct 2015 – Jun 2016

Created Map Reduce jobs in Java for data cleaning and pre-processing

Gained extensive knowledge on HDFS, Pig, Hive, Sqoop, Oozie, Hbase, Spark

Software Analyst (BMW, Unity Media) Accenture Services Private Limited, Hyderabad, India Jun 2012 – Sep 2015

Developed automation tools and handled modules needed for the introduction of BMWi (electric) car into the market

Worked on all aspects of software development cycle from requirement gathering to production support and maintenance

Worked with R programming to source data from websites/files/social media and cleaned data

Visualized data using Boxplot, Scatterplot, Histogram, Density plot, Box and Whisker plot and Dot Chart

Worked with models like linear regression, logical regression, classification, apriori and clustering

Well versed with deep learning, machine learning, natural language processing and artificial intelligence concepts

Achievements/Awards:

Won 1st prize in JABIL HACKATHON competition conducted at USF on January 2017

Received BMW SAO monthly individual award for my outstanding work in project BMWi

Member of professional business fraterntiy Delta Sigma Pi (potential brother) at University of South Florida

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