About Vaibhav Barot
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Viewed 710
About me
Enthusiastic student eager to contribute to team success through hard work and excellent organizational skills. A clear understanding of database systems and complex algorithms. Motivated to learn, grow and excel in every aspect of life.
Languages: Python, R, XCode, Java, PHP, C, C++, C#, VB.Net, SQL, HTML, CSS, JavaScript, Rest API
Database: Oracle, MySQL, MongoDB, MS Access, Firebase, T-SQL
Developer Tools / OS: GitHub, Azure, HTML5 Builder, Visual Code Studio, Stack Overflow, Windows, Linux, Mac, AWS, GCP
Education
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- Present
State University of New York at Buffalo
M.S. in Data Science
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- 2020
Veer Narmad South Gujarat University
B.S. in Computer Science
Experience
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2022 - Present
State University of New York at Buffalo
Graduate Student Assistant
• Eliminated manual effort by 85% by automating time tracking system, writing all scripts from scratch, & expertly performing software bug
engineering, achieving 100% accuracy for reporting & data operations, thus delivering project 75% ahead of schedule• Optimizing & maintaining websites for New York State’s Department of Health reducing downtime occurrences by 15%
• Preparing, modifying & testing several web applications, database projects, open-source code & document website
• Developing monthly, quarterly & yearly data analytics reports, operating relational, teleconferencing & record-keeping software
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2020 - 2021
Microsys Softtech
Software Engineer
• Partnered with company’s Vice President to learn & implement best practices in software design, software architecture & SDLC
• Conceptualized & scripted over 60+ automated tests with software development team using Visual Studio & ASP.Net framework, increasing overall productivity by 14%
• Collaborated & improved website accessed by over 2.3 million+ users worldwide, streamlining high-server traffic resource configuration &
allocation by requirement analysis, design & programming -
2020 - 2020
Spontaneous Enterprise
Software Engineer Intern
• Developed 40+ data visualization graphics, translating complex data sets into comprehensive visual representations
• Translated benefits of machine learning technology for non-technical audiences, including cost/benefit analysis
• Collaborated with 2 senior personnel to define & meet data modeling standards for deep-dive projects