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Moni Gayathri Sayana

@monigayathrisayana

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Data scientist passionate about developing scalable applications and AI solutions.

United States

Message

What I'm looking for

I seek a dynamic role where I can leverage my data science skills to create impactful solutions, collaborate with innovative teams, and contribute to projects that drive business success.

I am a dedicated data scientist currently pursuing my Master of Science in Data Science at Stony Brook University, where I maintain a GPA of 3.8. My academic journey has equipped me with a solid foundation in distributed systems, data management, and machine learning. I have actively contributed to the Women in Science & Engineering Program as a project instructor, fostering a collaborative learning environment.

In my professional experience, I have excelled as a Python Developer at IUS Auto, where I developed a scalable application on AWS that significantly reduced manual review time and enhanced processing throughput. My previous role as a Full Stack Engineer at PricewaterhouseCoopers allowed me to engineer high-performance cloud services and optimize microservices, leading to substantial improvements in service uptime and deployment efficiency. I am passionate about leveraging my technical skills to drive innovation and efficiency in data-driven projects.

Experience

Work history, roles, and key accomplishments

Current

Python Developer

Current

IUS Auto, Inc.

Sep 2024 - Present (10 months)

Developed and deployed a scalable, Python-based application on AWS (SageMaker, EC2, Lambda) to automate the evaluation of AI-generated patent scripts, reducing manual review time by 60% and increasing processing throughput by 45%. Integrated and fine-tuned large language models such as LLaMA 3.2 using Python libraries like Hugging Face Transformers and TensorFlow, enhancing the accuracy of real-ti

Python AWS Sagemaker EC2 Lambda TensorFlow LLaMA 2 AI Machine Learning

Full Stack Engineer

PricewaterhouseCoopers

Aug 2021 - Present (3 years 11 months)

Engineered high-performance cloud services on Azure for an insurance platform, using C#, Spring Boot, SQL to design scalable microservices that processed over 1 million daily requests, supporting claims and policy management. Architected and optimized MongoDB schemas and API integrations, improving data retrieval speed by 40% to facilitate fast, reliable access to customer policies, claims history

Azure C++Spring Boot SQL Microservices MongoDB API Integration Datadog Kubernetes Jenkins Docker Selenium Jest GitHub Actions API Gateway CDN Linux Agile Jira

Software Engineer Intern

Analytics Vidya

Mar 2020 - Present (5 years 4 months)

Developed a responsive, secure app with React, Node.js, PostgreSQL, and GraphQL, boosting query performance by 30% and reducing latency by 25%. Increased user engagement by 40% with real-time insights, facilitating data-driven decisions. Implemented RESTful APIs in a microservices framework with OAuth2 and JWT authentication, securing data access with sub-100ms response times for 95% of calls and

React Node PostgreSQL GraphQL RESTful APIs Microservices OAUTH2 JWT Jenkins GitHub Actions Terraform AWS ECS ECR S3 Docker Kubernetes

Education

Degrees, certifications, and relevant coursework

Stony Brook University

Master of Science, Data Science

Grade: 3.8

Activities and societies: Machine Learning Project Instructor as part of Women in Science & Engineering Program.

Pursued a Master of Science in Data Science, focusing on advanced topics such as distributed systems, data structures, algorithms, and big data. Engaged in relevant coursework including data management, data analysis, and operating systems.