Software Developer Data

NUPOOR JOSHI

Parsippany, NJ **************@*****.*** 973-***-****

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PROFESSIONAL SUMMARY

Graduate student at Rutgers, with two years of professional experience as a software developer in the financial domain. Well acquainted with object-oriented programming concepts and languages. Enthusiastic learner with strong communication skills. Adroit at problem solving and analytical thinking. Continuously learning new skills to grow as an IT professional. EDUCATION

Rutgers, The State University of New Jersey Newark, NJ Master of Information Technology and Analytics. 3.88 GPA January 2021 Relevant Coursework: Data Science, Analytics for Business Intelligence, Business Data Management, Python Methodologies, Business Intelligence with Visualizations (Tableau), Project Management, Information Security, Business Forecasting. KJ Somaiya College of Engineering – University of Mumbai Mumbai, India Bachelor of Engineering in Information Technology. May 2017 TECHNICAL SKILLS

Java/J2EE Technologies: REST APIs, Java, Java Eclipse Link (ORM), Hibernate, Maven, Junit, JAX-RS.

Web Related languages: HTML5, Knockout JS, Java Script, XML, JSON, CSS

Database: MS Access, Oracle, PostgreSQL, MySQL

Tools: Microsoft Office (Pro-efficient in Ms. Excel and Ms. Access), Eclipse, Visual Studio, Android Studio, Postman, Rest Client, SOAPUI, Swagger, Tableau, RStudio, Oracle SQL Developer, Anaconda.

Environments: Jenkins, JIRA, Bug DB, Docker, Vagrant, Primavera, GitHub, SonarQube, Tomcat, Oracle WebLogic Server.

Familiar with: Python, R, C, UML, C++, AWS: Data Analytics Fundamentals.

Certification: Oracle University: CDT Java SE 8 programming.

Certification: Oracle University: CDT Oracle Database 12C: SQL and PL/SQL fundamentals. EMPLOYMENT HISTORY

Oracle Financial Services Software Limited - Junior Software Engineer 2017-2019

Gained ample experience in developing UI using HTML, CSS, and JavaScript and integrating it with the backend (Oracle DB).

Worked as a backend developer on modules like Payments (Transactions like Self transfer, Internal transfer, domestic transfer), Forex Deals, Virtual Account Management, Bulk File Upload of the OBDX product (Net banking product) in an agile development environment.

Performed unit testing of the APIs using JUnit and RUnit.

Conducted payment integration of the OBDX product with the core banking product for the Indian region. Used ORMs: Eclipse Link (JPA) to persist the data locally.

Developed Rest APIs for the creation and deletion of forex deals at the corporate banking level using the JAX-RS framework.

Actively participated in project meetings, documenting tasks in Confluence, and technical documentation of the application.

Resolved multiple bugs in the channels banking product, thereby increasing the efficiency of the product by 15%. ACADEMIC PROJECTS:

Credit Card Defaulters data analysis Dec 2020

Evaluated 20000 records and carried out EDA of the credit card dataset to discover the defaulters based on factors such as age, gender, education level etc.

Determined the best possible algorithm for forecasting the credit card defaulters by carrying out a comparative study between various classification algorithms like Logistic Regression, Random Forest Classifier and Support Vector Machines.

Effectuated clustering algorithms like K-means, spectral clustering and TSNE on the credit card data to determine the segmentation of dataset. Python libraries used: Scikit-learn, Plotly, seaborn, NumPy, Pandas. Causes and Impacts of Climate Change April 2020

Analyzed data related to climate change to determine the causes and the impacts of climate change at the global level.

Conducted various data visualizations to show the impacts and causes of climate change through data story telling.

Technology used: Tableau for data visualizations. Regression Analysis of Average Life Expectancy Dec 2019

Analysed over 2000 records of the health data associated with a population using Python libraries like NumPy, SciPy, scikit-learn.

Conducted Exploratory Data Analysis to determine the factors affecting the life expectancy of a population.

Performed PCI (Principal Component Analysis) to conduct dimensionality reduction of data.

Implemented Multiple Linear Regression to determine the average life expectancy of a population. Academic Assessment System for KJSCE Autonomy May 2017

The project involved android programming along with behavioral modelling to help students perform well, by providing them certain recommendations based on predictions conducted on their previous academic performances and the psychology of students. Conducted data visualizations using Ms. Excel (Pivot tables, graphs).

Implemented Multiple Linear Regression on students’ current and previous performance to forecast future scores, which allows students to pre-gauge the additional efforts required.

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