Minshu Dubey

Philadelphia, PA adlj7a@r.postjobfree.com 267-***-**** www.linkedin.com/in/minshu-dubey419927150 SUMMARY

Graduate of Computer Science with excellent knowledge of software applications and development. Proficient in design and integration problem-solving skills working with various databases, tools, and frameworks. Strong understanding of Java, J2EE, SQL, Oracle, and object-oriented development. Strong written and verbal communication. EDUCATION

Saint Joseph’s University, Arts and Science Philadelphia, PA Master of Science (MS) in Computer Science Concentration: - Web and Databases May 2021 Coursework: Big Data and Web analytics, Data structures & algorithms, Advanced Databases, Advanced Machine Learning, Internet Application Development

Medicap’s University Indore, India

Bachelor of Engineering (BE) in Computer Science June 2018 Coursework: Data structures, Operating System, Databases, Software Engineering, Object oriented Programming, Cloud computing SKILLS

Programming Languages: Java core, J2EE, Nodejs, Python, R, C++, HTML/CSS, JS, Bootstrap Databases: MySQL, ORACLE, MongoDB, PL SQL

Tools and Framework: Microsoft Office, MongoDB Compass, NetBeans, XAMPP, Eclipse, Google Colab, Visual Studio, GitHub, Databricks, Express, PhpMyAdmin, Putty

Technologies: Deep learning, Neural Networks, PCA, Data Mining, Big data, Time series analysis, Feature Engineering, TensorFlow, Sci-kit learn, NumPy, Data Visualization, Spark TECHNICAL EXPERIENCE

Graduate Student Assistant, SJU, Philadelphia, PA September 2020 – Current

• Conducted 150+ hours of interactive classroom sessions and doubt clarifications for 80+ students throughout the semester.

• Extensively designed the Recitation session to help students with Java core and advance every Monday for 2 hours.

• Developed assignments and solutions for different projects based on java.

• Providing students with one-on-one tutoring and regular out of the class assistance increased pass percentage by 45%.

• Engaged in professional development as appropriate and regularly update subject-related knowledge base. Also, deliver a range of teaching and assessment activities including tutorials directed towards the delivery of subjects at undergraduate and master’s level.

Trainee Intern, Kangaroo Software Ltd., Indore, India June 2017 – August 2017

• Involved in designing the application using UML.

• Developed user interface screens using JSP, HTML, CSS, JavaScript, AJAX and JSP Custom Tag.

• The concepts of Objects, Classes, and their relationships and how to model them, and a good hand on experience on the Spring framework.

• Involvement in implementing Spring Hibernate ORM tool mapping Java classes with database and using Hibernate query language (HQL).

• Implemented code for business logic using EJBs.

• Involved in client-side validations using JavaScript. ACADEMIC PROJECTS

Web & Application Development (Nodejs, MongoDB, HTML, Bootstrap) Jan 2021- current

• Working with ECMA Script 6 features also with npm commands.

• Worked with Express.js for the development of RESTful web services and middleware configurations.

• Worked with Passport and JSON web tokens for authentication and authorization security configurations using Node.js.

• Application is based on search sensitive and REST API where the department can easily manage applicant information and search based on keywords example: semester-based; year based etc. Market Basket Analysis (PL/SQL, JAVA, NetBeans, R studio, SQL Developer) Aug 2020-Dec 2020

• Worked with customer/ retailer data to analyze MBA, what is the frequency of items together etc. Applied apriori, sampling algorithm on such for a good analysis of support, confidence, and lift.

• Worked with J2EE for the web services and R for data visualization and association rules.

• Collaborated in a team of 2 students to design a web-based portal of online store dynamically to do market basket analysis and recommend in before the analysis.

Stock Market Forecast on Facebook Dataset Using LSTM and GRU Apr 2020-May 2020

• Using the most accurate model (LSTM or GRU) that best predicts the collected data about the past 12 months.

• Making Predictions for the next month, next 5 months, and the next 10 months of Microsoft stock. https://github.com/minsh30/Stock-Market-Forecast.git

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