Computer Science Machine Learning

CHANDINI NARAYANASWAMY

Jersey City, NJ ***** ************************@*****.*** 551-***-**** LinkedIn EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems New York, NY Master of Science (MS) in Computer Science GPA: 3.67 May 2023 Alliance University Bangalore, India

Bachelor of Technology (BTech) in Computer Science GPA: 3.77 November 2020 EXPERIENCE

Metropolitan Transportation Authority, New York, NY, Staff Analyst April 2023- Present

Conducted rigorous data analysis and resolved duplicate data issues within Salesforce Cassie, enhancing data reliability and integrity for MTA

Developed and maintained monthly and weekly reports using ADEPT, Power BI, and Tableau, providing actionable insights to business units for informed decision-making.

Reviewed and researched customer trip data, promptly reporting issues to designated teams, thereby improving data accuracy and customer satisfaction.

Created interactive dashboards to visualize key performance metrics, facilitating data-driven decision-making processes for MTA operations.

Proactively resolved client issues with MTA's mobile app and website, ensuring a seamless user experience and enhancing customer engagement and retention.

Rendus Technologies, Bangalore, India, Application Software Analyst May2018-July 2020

Developed full-stack web applications, RESTful web services, APIs, Microservices using JAVA, Spring MVC, JavaScript

Configured and monitored JENKINS job for automated build and deployment of applications.

Automated testing cycle by creating test cases using SOAP UI. Improved efficiency, time, and reliability TECHNICAL SKILLS

Programming Languages: Python, R, Java, React, JavaScript Web Development: Spring MVC, Spring Boot, RESTful web services, Microservices, Kafka, Ionic, AngularJS, node.js, HTML, CSS, Bootstrap, Junit, TCP/IP, FTP

Cloud: AWS, Azure DevOps, OpenShift

Operating Systems: Windows, Linux, MacOS, Ubuntu

Software/Tools: Docker, Kubernetes, Git, GitHub, Jenkins, JIRA, Trello, Eclipse, VS Code, Postman, SonarQube, MS Office Suite

Data Visualization/Big Data: Linear & Logistic Regression Analysis, Decision Analysis, Business Analytics, Statistical & Predictive Analysis, Probability, Calculus, Statistics, Tableau, MATLAB, PowerBI, PowerPoint, Hadoop Data Manipulation: Data Processing, Machine Learning, Clustering, Data Mining, Supervised & Unsupervised Learning Models, Data Mapping, API Keys, NetSuite, ERP System, Data Cleaning, Data Modeling ACADEMIC PROJECT

Time Series Forecasting model in Python February 2022

Forecasted NYC electricity consumption using Facebook’s machine learning Prophet model, predicting residential energy usage over multiple periods, converting data into numerical values, cleaning & processing to conduct exploratory data analysis.

Deployed Jupyter Notebook & Pandas, NumPy, Matplotlib, Seaborn, FBProphet, & Sklearn to analyze historical data & compare accuracy rate of future trends data verification. E-commerce Website January 2022 – December 2022

Led a cross-functional team of 7 to conceptualize and implement a sophisticated health and beauty product online application, leveraging Spring Boot Hibernate for backend development and ReactJs, HTML5, CSS3, and JavaScript for frontend, adhering to Agile methodology using JIRA.

Implemented useReducer, useContext, and FakerJS to implement the shopping cart functionality.

Facilitated the migration of a program from a local environment to an Amazon AWS EC2 instance, provisioning three virtual machines for Jenkins master, development, and QA environments, thereby optimizing deployment processes.

Perform unit testing using QTest, assessing use cases to ensure functionality & issue resolution of account access & navigation. Salesforce Project (Salesforce/ Excel) March - April 2022

Collaborate in a team of three to develop a customized Salesforce-based CRM system to enable Acme Corporation to track sales and business operations in an efficient manner. Managed responsibilities in Scrum Team by delegating roles to each member.

Managed a process re-engineering project to improve and consolidate end-to-end service processes; restructured communication flow among 10 departments and cut down paperwork by 75%.

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