Rujuta Chitnis

Associate Software Engineer @ NiCE

About

I'm passionate about data science and software development, with a deep interest in machine learning, artificial intelligence, and generative AI. I am a Master’s student in Data Science and Information Management at the University of Illinois Urbana-Champaign, where I apply my expertise to develop innovative, data-driven solutions. Technology has always fascinated me, driving my curiosity and shaping my academic journey. UIUC has given me the tools to turn this passion into impact. My academic journey, combined with hands-on experience, has strengthened my ability to analyze complex datasets, optimize information systems, and explore the intersection of technology and real-world applications. With a background in data science, machine learning, and AI, gained through my Bachelor's studies, industry experience at NICE Interactive Solutions of about 2 years, and internships in data science and AI, I have worked with technologies such as Generative AI, prompt engineering, GPT-4.0 APIs, OpenAI, and advanced analytics. My coursework in UIUC has honed my skills in Python, SQL, Tableau, Power BI, Cypher query language, R and Neo4j. Passionate about leveraging technology for meaningful impact, I strive to contribute to innovative and inclusive solutions that shape the future. I’m always seeking opportunities to contribute to meaningful projects and push the boundaries of data-driven decision-making.

Country

City

United States

Industry

Information Technology & Services

Skill

Leadership, Finance, English, Application Programming Interfaces (API), Project Management, Cypher Query Language, Neo4j, Elasticsearch, Amazon Dynamodb, Redis, Microservices, Spring Boot, Scala, Gatling, API Development, Critical Thinking, Meeting Facilitation, Time Management, Tableau, JavaScript

Experience

Associate Software Engineer

NiCE

2022-7 - 2024-5 · 1 yr 11 mos

Pune, Maharashtra, India

Data Science Intern

Vasundharaa Geo Technologies Pvt Ltd

2022-2 - 2022-8 · 7 mos

Pune, Maharashtra, India

• Implemented Automatic Number Plate Detection and Text Extraction on PMC traffic images, reducing the manual effort by almost 50%. Utilized object detection models such as YOLOv4 and YOLTv5, along with image segmentation techniques. • Conducted Object Detection Ensemble by employing a consensus ensemble technique on three object detection models – Faster RCNN, Retinanet, and YOLOv4, specifically on aerial ship imagery datasets. Integrated the ensemble approach into the Indian Army Project on Satellite Imagery Analysis to enhance overall performance. • Contributed to the Indian Army Project on Satellite Imagery Analysis by developing an application that employed various neural networks and deep learning algorithms, optimizing manual processes of object and change detections through images, resulting in a 60% performance increase addressing military requirements effectively.

Machine Learning Internship

Knowledge Solutions India

2020-11 - 2021-1 · 3 mos

Pune, Maharashtra, India

• Contributed to a Health Insurance Cost Prediction Project utilizing technologies such as Python, Jupyter Notebook, Pandas, Scikit-learn, NumPy, and Data Analysis tools. • Led the project to implement regression models, incorporating Multiple Linear Regression and Random Forest(accuracy 89.64%), resulting in improved capabilities and a significant 30% increase in customer retention.

Education

University of Illinois Urbana-Champaign

Information Management, Information School of Sciences

2024-8 - 2026-5 · 1 yr 10 mos

Pune Institute of Computer Technology

Electronics and telecommunication engineering

2018 - 2022 · 4 yrs

University - Savitribai Phule Pune University Coursework: Machine Learning, Artificial Intelligence, Internet of Things, Data Structures and Algorithms, Object Oriented Programming for C++, Java & Python