**Anurima Swarup**
Portland, Oregon
971-386-7692 | answarup@syr.edu
LinkedIn | GitHub

### **EDUCATION**
**Syracuse University**, Syracuse, NY
*Master of Science, Computer Science*
Aug 2021 – May 2023

**KIIT University**, Bhubaneswar, India
*Bachelor of Technology, Information Technology*
July 2014 – Apr 2018

### **COURSEWORK**
Design & Analysis of Algorithms | Data Structures | Software Engineering | Database Management Systems
Object-Oriented Design | Machine Learning | Operating Systems | Blockchain

### **SKILLS**
- **Programming Languages:** Java, Python, JavaScript, HTML, Apex, CSS
- **Frameworks:** React, Spring Boot, Node.js, Scikit-Learn, TensorFlow, Keras
- **Tools & Technologies:** Salesforce CRM, Git, Apache Kafka
- **Databases:** MS SQL, MongoDB, H2, MySQL
- **Operating Systems:** Linux, Windows

### **EXPERIENCE**
**Graduate Research Assistant**, Syracuse University (Remote)
*Jul 2023 – Present*
- Spearheaded backend development using Spring Boot (Java), reducing data latency by 50% with Kafka.
- Optimized RESTful APIs, improving efficiency by 40% for seamless frontend-backend integration.
- Enhanced MySQL queries, boosting data retrieval efficiency by 30%.

**Software Developer**, AVEVA – Hyderabad, India
*Jun 2018 – Jan 2021*
**BAU - Release Management**
- Developed features on Microsoft Dynamics and Salesforce using Apex, JavaScript, and CSS.
- Streamlined DevOps workflows with GitLab, cutting deployment time.

**Salesforce - D365 CRM Integration**
- Designed integration between MS Dynamics and Salesforce, ensuring seamless data sync via API scripts.
- Implemented error-handling and testing for reliability.

**Impartner Platform - Salesforce CRM Integration**
- Automated workflows and analytics to enhance partner engagement.

### **PROJECTS**
**Movie Reviews Application**
*Nov 2023 – Feb 2024*
- Built with React (Frontend), Spring Boot (Backend), MongoDB. Integrated TMDb API for movie search.

**Flight Delay Prediction (Python)**
*Apr 2023 – May 2023*
- Used ML models (Linear Regression, Gradient Boosting) on BTS data, achieving 45% prediction accuracy.

**Chore Allocator App – Hey Roomie!**
*Mar 2022 – Apr 2022*
- Web app (React + Spring Boot) with CRUD functionality on H2 database for task tracking.

**Twitter Sentiment Analysis**
*Nov 2021 – Dec 2021*
- Analyzed tweets from politically diverse cities using NLP tools (Spacy, TextBlob), achieving 85% sentiment similarity.

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