Aarjav Sheth

Santa Clara, CA adc7tv@r.postjobfree.com 669-***-**** linkedin.com/in/aarjavsheth github.com/aarjavsheth Santa Clara University Santa Clara, CA

Master of Science in Information Systems GPA: 3.72 June 2021

Relevant Coursework: Object-Oriented Programming with Java, Data Analytics with Python, Big Data Modeling and Analysis, Information System Analysis and Design, Database Design Analysis & Management, Software Project Management. Uka Tarsadia University Bardoli, India

Bachelor of Technology in Information Technology GPA: 3.51 May 2019

Relevant Coursework: Data and File Structure, Design and Analysis of Algorithms, Java Technologies, Operating Systems, Advanced Database Management System, Programming with Python, Cloud Computing & Virtualization, Data Mining & Business Intelligence, Machine Intelligence, Software Engineering, Mobile Application Development, Management and Entrepreneurship. TECHNICAL SKILLS

Languages : Java, Java Swing, Python, C, C++

Web Development Languages/Frameworks: PHP, HTML, CSS, ReactJS, JavaScript, jQuery, Bootstrap, TypeScript

Database : SQL Server, Postgres, MySQL, MongoDB, NoSQL, Firebase

Cloud Services : Amazon AWS (EC2, S3, DynamoDB)

DevOps : Linux, Docker, Kubernetes

Distributed Technologies: Hadoop, PySpark, Apache Spark

Python Libraries : NumPy, Pandas, SciPy, Scikit-learn, Seaborn, Matplotlib, Plotly, TensorFlow, PyTorch, Keras

Web-Scraping Package(s): BeautifulSoup, Selenium

Tools & Technologies : Java Swing, Ionic Framework, Git, JIRA, MS Office, Android Studio, Eclipse, Netbeans, IntelliJ IDEA, Jupyter Notebook, Agile, Scrum, Aha!

EXPERIENCE

Crest Infosystems Pvt. Ltd., India Software Engineering Intern December 2018 – April 2019

Designed and developed mobile application for finding new markets, demand for products of exporter, get insights on sales, using Typescript, on Ionic Framework. Analyzed and managed MySQL database to extract product data using RestAPI.

Collaborated with a colleague to create administration panel, with HTML, CSS, JavaScript, jQuery & Core PHP to manage customers and products. Integrated CRUD module, for both mobile and web application, to display analytics in form of charts and graphs.

Built a dashboard to visualize and monitor customer and product analysis. Increased consumer base of exporters and supply of products. Tech Stack: Ionic Framework, TypeScript, XML, MySQL, RestAPI, PHP, HTML, CSS, JavaScript, jQuery Bazinga Softtech Pvt. Ltd., India Mobile Application Developer Intern Summer 2018

Devised an android application with Java, which was incorporated as a module of an existing application of company which allow users to check weather conditions before booking an appointment which resulted in saving customer’s time and mitigated last minute cancellation loss for spas and salons.

Designed front-end using XML, used OpenWeatherMap API to fetch details of atmospheric conditions and stored data in Firebase database. Integrated modules to display weather details and identify user preferences. Tech Stack: Java, Android Studio, XML, Firebase ACADEMIC PROJECTS

e-GST Tech Stack: HTML, CSS, JavaScript, Bootstrap, PHP, MySQL

Collaborated with a colleague to digitalize traditional chartered accountant system by developing a web application using HTML, CSS, Bootstrap, JavaScript and PHP which increased customer base by 10%.

Clients and chartered accountants can share documents electronically through the portal. Built a normalized database in MySQL to store clients’ documents. Created administrative panel for administrator to manage clients and chartered accountants. Election Disbursements Analysis & Prediction Tech Stack: Machine Learning, Python, Python Libraries, Machine Learning Algorithms

Worked in a team of three to build machine learning models to predict victory of candidate based on election spending. Extracted information from dataset of Congressional Election Disbursements by cleaning dataset using feature engineering in Jupyter Notebook.

Applied six machine learning models and achieved 96.68% maximum accuracy from KNN. Book Recommendation System Tech Stack: HTML, CSS, PHP, MySQL, Machine Learning, Python, Machine Learning Algorithms

Led team of three to develop web application to recommend books to users based on similarity amongst users and ratings given to a book. Designed front-end with HTML, CSS & Core PHP.

Trained machine learning model with Book Crossing Dataset consisting of ~1.6 million rows using k-Nearest Neighbor which resulted in serving better recommendations by eradicating just rating-based recommendations. CERTIFICATIONS & ACHIEVEMENTS

Applied Machine Learning - Foundations, LinkedIn Learning [2019] Agile at Work: Building Your Agile Team, LinkedIn Learning [2019] Scrum: The Basics, LinkedIn Learning [2019]

Awarded merit-based scholarship in graduate school [2019].

Student Ambassador for Graduate Business School Career Fair.

Attended workshops on Startup & Entrepreneurship and Ethical Hacking.

Managed annual cultural festival [2016] and handled ~1000 footsteps.

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