Research Assistant

S WARANJALI JADHAV

Raleigh, NC +1-919-***-**** ******************@*****.*** linkedin.com/in/swaranjalijadhav

github.com/SwaranjaliJadhav

E DUCATION

North Carolina State University, Raleigh, NC August 2023 - May 2025

Master of Computer Science GPA: 3.9/4

Coursework: Design and Analysis of Algorithms, Software Engineering, Database Management Systems, Foundations of Data

Science, Neural Networks, Cloud Computing, Automated Learning & Data Analysis

SIES Graduate School of Technology, Navi Mumbai, India August 2019 - May 2023

Bachelor of Engineering in Information Technology GPA: 9.75/10

Coursework: Data Structures and Algorithms, Business Intelligence, Cloud Computing, Software Testing & Analysis

T ECHNICAL S KILLS

Languages: Python, C, Java, C++, C#, JavaScript, PHP

Tools & Frameworks: Git, Tableau, AWS, PowerBI, Excel, Numpy, ScikitLearn, Pandas, Scipy, TensorFlow, PyTorch

Databases: MongoDB, PostgreSQL, MySQL, FireBase

E XPERIENCE

Research Assistant, North Carolina State University, Raleigh, NC, USA August 2024 Present

Applied machine learning and statistical modeling to analyze large-scale behavioral datasets of laboratory mice, enabling accurate

classification of complex behaviors and supporting data-driven insights.

Engineered scalable Python data pipelines for automated feature extraction, pattern detection, and preprocessing, improving analysis

efficiency by 35% and facilitating downstream AI/ML model training.

Conducted research on motion tracking, pose estimation, and behavioral modeling, leveraging multimodal data fusion and temporal

modeling to integrate motion and positional data for comprehensive behavioral analysis.

Developed an AI-driven embedding and similarity search pipeline using FAISS and learned feature representations to extract and

organize key behavioral patterns, enabling efficient retrieval and downstream predictive modeling.

Software Development Intern, SIES Graduate School of Technology, Mumbai, India June 2022 August 2022

Built a collaborative web platform using React, Node.js, and PostgreSQL, connecting 250+ students with compatible study groups based

on courses and schedules.

Implemented real-time chat and scheduling features using WebSockets, increasing student engagement and collaboration by 40%.

Designed backend APIs and automated matching algorithms, reducing manual coordination by 50 minutes per week per student, and

deployed the platform on a cloud server providing secure access for 1000+ students.

Data Science Research Intern, SmartKnower, India June 2021 August 2021

Extracted and analyzed web data using Python web scraping, building a dataset of 23,000 entries and expanding data coverage by 8%.

Performed data preprocessing, feature scaling, and predictive modeling, improving model recall by 5% and enhancing analytical precision.

P ROJECTS

AI powered Menstrual Health Assistant React, Node.js, WebRTC, OpenAI, LangChain, RAG: Built an AI-driven women s

health platform with menstrual cycle prediction, virtual consultations, and pharmacy services. Designed and optimized a

LangChain + OpenAI powered assistant using RAG and improved inference pipelines, reducing end-to-end latency by 35%.

AI-Driven Synthetic Data Generator OpenAI, Python, Pandas, LangChain: Designed and deployed a scalable LLM-based

synthetic data generation pipeline with schema enforcement, structured prompt templates, and multi-stage quality validation.

Generated high-fidelity samples to enhance low-resource classes, improving downstream model performance by 15%.

Real-Time News Analyzer Platform Python, NLP, Flask, Google News API, PostgreSQL: Engineered a platform to fetch and

analyze real-time news with automated labeling and NLP-based sentiment/fake news detection; processed 2,000+ articles daily

and improved classification accuracy by 20%.

P UBLICATIONS & ACHIEVEMENTS

IEEE 2023 4th International Conference for Emerging Technology (INCET): Published a paper on Real Time News Analysis using Natural

Language Processing .

Diamond Hacks 2024 (NCSU): Secured 1st place for developing an innovative solution and Pearl Hacks 2025 (UNC Chapel Hill): Awarded

for Best Use of AI.

Volunteer at Eksaathe: Led activities promoting gender equality and raised awareness in local communities, reaching over 200 participants

and organizing 5+ community workshops.

Writer and Editor, TechScience Magazine (SIES): Authored and edited 12+ technical articles on emerging technologies and innovation.

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