Customer Service Data

MD AFZAL HOSSAIN

Email: *****.****@*****.***, Phone: 347-***-****, Address: 17049, Cedarcroft Road 3c, Jamaica, NY 11432.

LinkedIn: www.linkedin.com/in/md-afzal-hossain-b7943593

EXPERIENCE SUMMARY

•Excellent professional as well as communication skills and enjoys a high pressure team environment.

•Hands on experience analyzing large structured and unstructured data using data mining, modeling tools and programming languages.

•Expertise in Machine Learning which involve statistical modeling techniques such as linear regression, logistic regression.

•Involved in break down business requirements and translating data into relevant and easy to understand information.

•Experience doing web scraping using Python and Java.

•Worked on Agile methodology which involved learn new technologies quickly and adopted with changing requirements and familiar with software development life cycle (SDLC)

TECHNICAL AND ACADEMIC SKILLS

•Programming Language: R, Python, Java, Hadoop.

•Operating Systems: Linux, Mac OS and Windows.

•Database: Oracle, SQL server, MySQL and MongoDB.

•Other Technology: Maven, JSON, XML, Eclips, MS Word, MS Excel, MS Power Point, Share point, HTML, XML, UML,CSS.

•Academic Skill: Data Analysis, Statistical Modeling, Documenting, Presenting, Project Managing.

RELEVANT EXPERIENCE

131 Basking Ridge, NJ 07920 September 2016 - February 2017

UnitedHealth Group

Analyst/ Engineer

We worked on a project which involved analyzing and modifying institutional and probational claims in order to successfully process and validate claims based on the business requirements.

•Extracted, compiled and tracked data, and analyzed data to generate reports.

•Interpret data from primary and secondary sources using statistical techniques and provide ongoing reports.

•Saved time and cost by building automation framework which also include web scraping using Java.

•Lead and Coordinate multiple teams and working within an agile-based development.

•Developed Maven project object model (POM).

•Received Hadoop training and supported big data team.

•Perform Database Validation testing and write SQL Queries to retrieve data from database.

Los Angeles, CA 90095

University of California, Los Angeles(UCLA) June 2015 – August 2015

Research Intern

We were provided with a dataset of 40 million Tweets by our sponsor industry Twitter on which we are performing

statistical analysis in order to explore the nature and structure of conversations between organizations and users

on Twitter, and how successfully such interactions are resolved. Implemented in R and Python.

URL of the Project: https://drive.google.com/uc?id=0B5uwSilNGu72N0VLN0lEUTc2bTA

•Involved in Research in Industrial Projects for Students (RIPS) 2015 program and worked for our client, Twitter.

•Using 40 million Tweets, successfully identified customer service related conversations between organizations and users on Twitter, and how successfully those interactions were resolved.

•Successfully used NLP to analyze how different industry using Twitter to provide customer service.

•Involved in aggregation and created index in MongoDB.

•Used Python distribution containing tool, PyMongo for working with MongoDB.

641 Avenue of the Americas, New York, NY 10011

Microsoft Research (MSR) June 2014 – August 2014

Data Science Student

Program URL: https://ds3.research.microsoft.com/

We worked on a project using Stop and frisk data relies by NYPD where it focused on the social cost on certain groups that result from the Stop-and-Frisk policy in New York City. We also came up with ways to improve police officer's stop decisions by creating two types of statistical models. Implemented in R and Python.

URL of the Project: https://ds3.research.microsoft.com/projects

•Acquired, cleaned, and utilized real-world data for research purposes which also involve data mining and gaining experience in acquiring and modeling data from online sources.

•Successfully develop statistical model and heuristic model using Stop-and-Frisk data to aid NYPD officers for making optimal stop decisions.

•Evaluated models with applications including spam filtering and recommendation systems.

•Conducted web scraping data extraction using Python.

•Used R, Python and command line to analyze, visualize and machine learning regression to predict the outcome.

300 Jay St, New York, NY 11201 Fall 2012, Spring 2013, Fall 2014

Computer Lab assistant at City Tech

•Computer Lab assistant with tactical tasks such as helping 25 to 30 students a day with their programming homework.

•Helping student with basic algorithms and applied statistic problems.

EDUCATION

New York City College of Technology, 300 Jay St, New York, NY 11201

Bachelor of Science, Applied Mathematics. January 2016, GPA: 3.72 on a scale of 4.0.

New York City College of Technology, 300 Jay St, New York, NY 11201

Associate in Science, Computer Science. July 2014, GPA: 3.76 on a scale of 4.0.

CONFERENCES

Poster, Talk, January 2016:“#CONVERSATION”.

•Joint Mathematics Meetings(JMM).

Poster, Talk, August 2014:“An Empirical Analysis of Stop-and-Frisk in NYC”.

•Knowledge Discovery and Data Mining(KDD).

Poster, February 2015: “An Empirical Analysis of Stop-and-Frisk in NYC”

•Tapia Conference, Grace Hopper Conference.

AWARDS / GRANTS

National Science Foundation Scholarship in STEM, Fall 2015, Received three thousand dollar for academic support.

Academic Excellence, July 2014: From Math Department in City Tech for having excellent academic record in my Associate degree.

National Science Foundation Scholarship, Fall-2012 and Spring-2013: Received four thousand dollar for academic support.

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