PAURAVI NAGARKAR

+1-206-***-**** + Santa § GitHub/Clara, pauravi-CA # pnagarkar02@nagarkar gmail.pauravi-com nagarkar ï LinkedIn/pauravi-nagarkar OBJECTIVE

Seeking a Software Engineering position to apply my Master’s in Computer Science and hands-on tech experience of 2+Years. Skilled in Python, Java, C++, cloud solutions, ML/AI and agile development with a track record of enhancing operational efficiency at Capgemini and through academic projects. I aim to use my problem-solving prowess and collaborative spirit to contribute to your team’s success in creating innovative tech solutions.

EDUCATION

Master’s in Computer Science & Engineering (MS CSE) Sep 2022 - Jun 2024 Santa Clara University — GPA: 3.77/4.00 Santa Clara, CA Bachelor’s in Computer Science & Engineering (BE CSE) Aug 2016 - May 2020 Savitribai Phule Pune University — GPA: 3.84/4.00 Pune, India

SKILLS & CERTIFICATIONS

Languages: Python (Proficient), Java, C++,JavaScript, Typescript, R Web Technologies: React.js, Express.js, Node.js, HTML/CSS. Databases: AWS(Athena, S3, DynamoDB), Mysql, Neo4j, Postgresql, MongoDB. Cloud Computing and Infrastructure:Docker, Kubernetes, AWS Kinesis, SQS, SNS, AWS Lambda, RESTful API design, AWS EC2 Big Data & Machine Learning Frameworks: Apache (Hadoop, Spark, Kafka, Airflow), TensorFlow, PyTorch, Keras, Theano, Git, CNNs, RNNs, NLP, GANs, Time Series Forecasting, Matplotlib, Seaborn, Tableau, RabbitMQ. Certifications: Generative AI(ongoing), Google Data Analytics, R, Python, MTA for Security Fundamentals,Google Data Engineer(ongoing).

EXPERIENCE

Capgemini, Inc Jan 2022 - Jul 2022

Software Engineer Pune, India

• Transformed Discover Financial Service’s mainframe workflows into cloud microservices with Spring Boot and Amazon ECS, cut- ting operational times by 15%.

• Developed Python based microservice system using SQS, SNS, Lambda and step functions for late fee notifications, enhancing efficiency by 40% and reducing manual work by 70%. This system handles a traffic of 30 TPS.

• Increased project productivity by 20% through Agile practices & training interns to develop a transaction management module.

Capgemini, Inc Nov 2020 - Dec 2021

Associate Software Engineer (Team : Cards) Pune, India

• Extracted critical data by analyzing COBOL mainframe code, laying the foundation for robust loan management microservice.

• Enhanced customer service capabilities for Discover Financial Services by designing Java RESTful API endpoints, facilitating dynamic access to loan data.

• Collaborated closely with data scientists to analyze migration flow from legacy systems, ensuring a data-driven and seamless transi- tion strategy.

• Promoted to Software Engineer within one year from Associate Software Engineer due to outstanding performance & contributions.

Retailware Jun 2020 - Oct 2020

Software Engineer Intern Pune, India

• Designed and implemented a dynamic user feedback collection modal using DOM manipulation, resulting in a 40% increase in feedback submission rates.

PROJECTS

WeatherWise: Dynamic Place Recommendation System Based on Real-Time Weather Conditions Jan 2024 - ongoing

• we leveraged AWS services i.e Amazon DynamoDB to store place and weather data, AWS Lambda to run the recommendation logic, and will integrated it with WeatherWiz.

• The core recommendation logic is implemented in Python using PyTorch for the Matrix Factorization model, incorporating user- place ratings and weather conditions to predict and recommend places. WeatherWiz: Real-Time Alert System using Distributed Architecture Jun 2023 - Sept 2023

• Leveraging the Publisher-Subscriber model with technologies like RabbitMQ and Java, the project significantly enhances weather alert efficiency and user experience, reducing manual efforts by 70%.

• By adopting Agile methodologies and utilizing Docker and AWS EC2 for infrastructure management, it achieves substantial annual savings for users and ensures the delivery of reliable, personalized weather notifications. Stock Market Real-Time Data Analysis Mar 2023 - Jun 2023

• Built a real-time data pipeline for the stock market using Apache Kafka and Python, integrated with AWS( EC2,S3,Glue,Athena) technologies, to capture, process, store, and analyze market data for insights Document Recommendation System Sep 2022 - Dec 2022

• Engineered a Python and SQL-backed document retrieval system that improved document relevance by speech recognition & page- ranking Algo, reducing ASR errors & streamlining keyword clustering. Published Resaerch Paper