Sangeetha J.

A master’s student in Computer Science with Software Engineering specialization having strong background in back-end development using SQL, MongoDB and PostgreSQL. Expertise in C#, Java, React and Web Application development, completed a summer internship in NLP and ML where I worked on several projects on sentimental analysis. Adept at agile methodologies with a strong commitment to delivering high-quality software solutions. A highly passionate Software developer with two years experience in working with global giants Infosys and Harman. RELEVANT COURSEWORK • Computer Science: Data Structures, Algorithms, Web Programming, Machine Learning • Informatics: Database Applications, System Design Tests , Social Networking Technologies, Software Engineering TECHNICAL SKILLS • ETL/BI Tools: Tableau, Power BI, Excel • Languages: Java, Node.js, React.js, CSS, C, Python • Databases: MySQL, MongoDB, PostgreSQL, SQL Server 2014, NoSQL • Frameworks: Spring, Hadoop, Hibernate, ASP .NET, MVC • Source Code Management: Git, Svn • Software: JIRA, Terraform, Confluence, Kafka • Other Tools and Technologies: Docker, Helm, OpenSSH, AWS, Kubernetes, CI/CD Pipeline, GCP, Machine Learning, Natural Language Processing, TensorFlow, data analytics, clinical data management and Software Development Lifecycle (SDLC), S3, IAM, EC2, Lambda EXPERIENCE Software Intern July 2023 – Aug 2023 Saven Technologies Inc South PlainFIeld, NJ • Performed Model tuning using clustering algorithms, regression analysis, unsupervised learning. • Implemented Machine Learning models where I gauged its accuracy, performed sentimental analysis, text mining and topic modelling. Associate Software Engineer II Oct 2020 – July 2022 HARMAN Connected Services Bangalore, India • Associated with team to write java code plugins and established the functionality of the components using spring-boot. This involved crafting efficient, scalable solutions to meet project requirements and enhance system performance. • I was responsible for owning and handling several components and API end points. I was involved in adding new features using spring- boot java, J2EE, MongoDB, PostgreSQL and modifying existing components for debugging it if any issues arise. • Implemented cloud technologies for deploying applications (K8s, AWS Product modules) and focused on software modules to perform a release of component using end-to-end functional and unit testing. • Used continuous Integration and continues deployment (CI/CD Pipeline) for building and deploying API end points in bitbucket. I played a key role in leveraging Docker, Helm, and Kubernetes to orchestrate containerized applications, streamline deployment processes, and enhance scalability and resilience within cloud environments. • Leveraged analytics tools Tableau and Power BI to visualize deployment metrics and application performance within the global orchestration tool, enabling data-driven decision-making for optimization and scalability. • Utilized Python and SQL for data analysis and reporting within the orchestration tool environment, extracting insights from deployment logs and performance metrics. Systems Engineer Intern Feb 2020 – Mar 2020 INFOSYS Mysore, India • Built a full-stack application by applying best practices of web development using four platforms which included JavaScript, html5, CSS, and bootstrap. Used Node.js for the server-side of the stack. • Developed an E-commerce website in Node.js using Express framework, which has faster connectivity to MongoDB. PROJECTS . Market Analysis and Recommendation | Google Cloud Platform, Tableau, BigQuery, SQL, Python, Excel Feb 2024- Present • Data Collection and Cleaning: Collected and cleaned sales data, customer demographics, and product information using Excel. • Exploratory Data Analysis (EDA): Identified patterns and trends in customer behavior, sales performance, and market segments using Tableau for visualization. • Customer Segmentation: Segmented customers based on demographics, purchase history, and engagement metrics using Google BigQuery and SQL. • Market Basket Analysis: Performed association rule mining on transaction data to identify product affinities and cross-selling opportunities using Python. • Predictive Modeling: Built predictive models (regression, classification) using Google Cloud to forecast sales trends and customer churn. • Data Visualization and Reporting: Applied knowledge of business-wide applications and client-facing tools to support data. • Visualization and analysis using Tableau to communicate insights and Jira for reporting and planning. Healthcare Application Development – FEMISPACE | Django, python, MongoDB, NoSQL Sept 2023- Nov 2023 • Worked on the application to streamline various aspects of patient care and management leveraging Django and python. • I facilitated the seamless integration of backend APIs with frontend components built using modern JavaScript framework and React. This ensured a cohesive user experience across the application. API Development using Node.js and Express Feb 2020- Mar 2020 • Built a full-stack application by applying best practices of web development using JavaScript, HTML5, CSS and bootstrap where Node.js is used for the server-side of the stack. • I have developed an E-commerce website in Node.js using Express framework, which has faster connectivity to MongoDB. MapReduce Stream Processing System | Apache Kafka, Apache Spark, MapReduce, Hive, Hadoop Aug 2019- Oct 2019 • Designed and implemented real-time stream processing systems using the MapReduce programming model to handle continuous data streams from various sources. Developed fault-tolerant and scalable pipelines for analytics, monitoring, and decision-making. • Applied distributed computing to process and analyze large datasets in real-time, enhancing operational efficiency and enabling data-driven insights. Region-wise Disease Prediction | Python, Random Forest, Decision-tree, Neural networks, and K-means Dec 2019 – Feb 2020 • Worked on the prediction of a disease Region-wise, which is unstructured data using four kinds of algorithms in machine learning. Decision Trees was implemented for accurate classification of regional health data. • Utilized Random Forest algorithm to analyze historical data and identify patterns in disease outbreaks. Graphical Simulation of Weather Conditions | C++, OpenGL , .Net, VisualCron Mar 2019- May 2019 • Language used is C++ and . Net, I simulated the working of weather conditions which represent various seasons like summer, winter, rainy, and spring. The user interacts with the simulator is implemented graphically using OpenGL functions. VisualCron was used for task scheduling. Web Technology project on Amusement Park | PHP, Web development, Backend development May-2019 • Designed a website on Amusement Park using Web development and PHP in the back end. This project is used to book online entry tickets for amusement parks including stay tickets in resorts. Hospital Management System | Jsp, Html, Css, Sql Server Aug 2018 • Designed application in which administrator has privileges to maintain database by keeping track of all hospital branches, doctors working, patients information and ward rooms allotted information. CERTIFICATIONS • Google Professional Data Analytics Coursera 2024 • NPTEL Cloud Certification IIT Kharagpur 2019 EDUCATION Illinois Institute of Technology Aug. 2022 – May 2024 Master Of Computer Science GPA 3.66 /4