FIRST AND LAST NAME ADDRESS EMAIL | PHONE
(FIRST NAME AND LAST NAME TITLE) HEADWHERE ASSIGNOR IS FIRST PURCHASER FROM DEVELOPER [SOLICITORS LETTERHEAD]
23 CI114RPRE FIRST STANDING COMMITTEE CI114RPRE PEACE
ARRIVAL INFORMATION FORM SURNAME FIRST NAME
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Michael Wesley Wanberg
First and Last Name
Address
Email
| Phone
GitHub:
https://github.com/USERNAME
EDUCATION
State University of New York at New Paltz, New Paltz, NY
Bachelor of Science Computer Science, expected May 2022
Overall GPA 3.3/4.0
TECHNICAL SKILLS
Languages: C, Java, Python.
Databases: MySQL, Oracle 11g
Web Development: HTML, CSS, JavaScript, Angular, Bootstrap
Cloud: Amazon Web Services: EC2, S3, IAM, Google App Engine
Tools/Technologies: Weka 3.8, MIT App Inventor, MS Visual Studio, Version Control (Git), Anaconda
EXPERIENCE
Maxim Integrated Products, Hillsboro ME. Summer Intern, Summer 2018 and 2019
Used Python and C++ to developed a software and hardware interface to increase efficiency of testing procedure for integrated circuits
Pursued, prioritized, and completed technical projects in a cooperative environment with minimal supervision
Recognized by supervisors for initiative and quality of work
Sojourner Truth Library, New Paltz NY. Work Study Position, Fall 2018-Spring 2019
Assisted patrons with checking out and returning materials
Helped catalogue new acquisitions
Entered new acquisition data into the Floris database system
Real Data Incorporated, Portland ME. Market Research, Summer 2016
Autonomously investigated and prepared detailed reports on large apartment complexes
Specifically recognized by company for excellence of work
ACADEMIC PROJECTS
Prediction of Potential Automobile Recalls, Fall 2018 - Present
Tailor the Twitter API to pull in huge number of tweets related to the scenario using Python
Customize query for each of the instance (manufacturer or model)
Present a report by using various mining techniques using machine learning based on the tweets gathered
Sentiment Embeddings with Applications to Sentiment Analysis, Spring 2017
Classified the text into positive, negative and neutral categories based on their polarity using sentiment analysis and natural language processing.
Performed opinion mining on the reviews or given data using NLP algorithms which includes word level sentiment analysis, sentence level sentiment classification and building sentiment lexicon.
ACTIVITIES / AFFILIATIONS
President; Alpha Phi Omega Service Fraternity, 2019-present
Student Representative; SUNY New Paltz President’s Advisory Board, 2018-present
Member; SUNY New Paltz Men’s Varsity Soccer, 2018-present
FIRST NAME SURNAME AGE NAME OF SCHOOL CHURCH
FIRST PRESBYTERIAN CHURCH A SYNOPSIS OF ISSUES
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