**Lakshitha Vivekananda**
Jersey City, NJ
lv2218@nyu.edu | 615-870-6669
www.linkedin.com/in/lakshithav

### EDUCATION
**New York University, Tandon School of Engineering**
Master of Science in Computer Engineering | GPA: 3.7/4.0
May 2024

**Vellore Institute of Technology**
Bachelor of Technology in Computer Science and Engineering | GPA: 8.24/10
May 2020

### WORK EXPERIENCE
**Inncretech, New Jersey, USA**
Full Stack Developer (React, TypeScript, NodeJS, Python)
January 2024 – Present
- Engineered 50+ interactive dashboards and data visualizations for DataGol BI platform.
- Refactored codebase, reducing package size by 30% and improving response times using ReactFlow.
- Designed a Data Lineage framework for 100+ data sources and ETL pipelines.
- Ensured 99.9% error-free platform reliability through rigorous testing.

**SD Solutions LLC, Virginia, USA**
Software Engineer Intern (Java, JavaScript, React, NodeJS)
June 2023 – August 2023
- Developed a cross-platform vulnerability detection tool, increasing user engagement by 30%.
- Secured data using SQL databases and implemented Agile testing for error-free UX.
- Customized Pipedrive, reducing admin tasks by 30% and boosting revenue by 15%.

**Bank of America, Chennai, India**
Informatica Administrator (IICS, Shell Scripting, SQL, PowerCenter)
July 2020 – August 2022
- Managed 15 Informatica environments for 2,000+ users, upgrading systems to optimize performance.
- Automated tasks with Unix Shell scripts, saving 22.5+ hours weekly.
- Implemented CI/CD pipeline using JIRA, GIT, and Ansible.

### TECHNICAL SKILLS
**Programming:** React, NodeJS, Java, JavaScript, Shell Scripting, Python
**Databases:** Oracle SQL, MySQL, NoSQL
**Data Tools:** Informatica PowerCenter, Tableau, Power BI, Spark, Hadoop
**Utilities:** Git, JIRA, TOSCA, MS Office

### PROJECTS
**Healthcare Data Analysis** (SQL, Tableau, Python) | Feb 2023 – Apr 2023
- Built a mental health analysis database with MySQL/MongoDB integration.

**Wildfire Prediction & Analysis** (MongoDB, Apache Spark, Tableau) | Sep 2023 – Nov 2023
- Developed predictive models using Spark MLlib and visualized trends in Tableau.

*(Condensed for clarity while retaining key details.)*

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