Shivanagouda Agasimani

Data Scientist

https://talent.gravityer.com/shivanagouda-agasimani

Learning and Growing.

Software Engineer at Amazon

Key Strengths

Experience with microservice architecture using Spring Boot and Spring Cloud, as demonstrated by 'Ecommerce-website-Microservice-architecture' and 'Movie-catalog-application' projects.
Familiarity with distributed systems components like Eureka and Kafka.
Exposure to both SQL and NoSQL databases (MongoDB).
Experience with containerization using Dockerfile.
Demonstrated interest in data-related projects, such as 'semantic-book-recommendation-system' using Python, HuggingFace, and Langchain.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on Java and microservices, with a recent project in Python for a recommendation system. While there's an interest in data science, the majority of projects lean towards backend development. The listed current role as 'Data Scientist' at Amazon, if accurate, suggests a strong alignment, but the project history doesn't fully reflect a deep, consistent data science background. The experience level is listed as 0, which contradicts the current role at Amazon, indicating a potential data discrepancy or a very recent career transition. This discrepancy makes it difficult to fully assess cultural fit for a senior Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

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Projects

etcd

April 11, 2026 – Present

etcd — GitHub repository

View Project

semantic-book-recommendation-system

July 15, 2025 – July 15, 2025

Book recommendation system built using Python, HuggingFace, Langchain, Gradio

View Project

book-platform-frontend

June 14, 2025 – June 14, 2025

book-platform-frontend — GitHub repository

View Project

book-platform-backend

June 13, 2025 – June 14, 2025

book-platform-backend — GitHub repository

View Project

one-billion-row-challenge

December 23, 2024 – December 23, 2024

one-billion-row-challenge — GitHub repository

View Project

telcoservice-ms

September 21, 2024 – September 21, 2024

telcoservice-ms — GitHub repository

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Fundamentals-of-Database

December 2, 2023 – December 11, 2023

This repo contains fundamentals of Database engineering notes

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Ecommerce-website-Microservice-architecture

June 9, 2023 – July 22, 2023

This is an e commerce website built on microservice architecture using Spring boot, Spring cloud, Eureka, Spring Cloud Gateway, Kafka and SQL database and MongoDB

View Project

E-commerce-website-in-nodejs

March 21, 2023 – May 11, 2023

This is a online shop web application built with Node js, Express and Mongo DB

View Project

Movie-catalog-application

June 10, 2022 – July 21, 2022

Microservice in Java spring boot

View Project

Key Strengths

Experience with microservice architecture using Spring Boot and Spring Cloud, as demonstrated by 'Ecommerce-website-Microservice-architecture' and 'Movie-catalog-application' projects.
Familiarity with distributed systems components like Eureka and Kafka.
Exposure to both SQL and NoSQL databases (MongoDB).
Experience with containerization using Dockerfile.
Demonstrated interest in data-related projects, such as 'semantic-book-recommendation-system' using Python, HuggingFace, and Langchain.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

Shivanagouda Agasimani

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit