Data Engineering+Java Full Stack Developer with 8 years of experience in Spring Boot, Microservices, and React. Passionate about building scalable web app
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TCS
Data Scientist
June 20, 2026 – Present
BillingSystem
June 13, 2026 – Present
This project focuses on creating an interactive sales dashboard for a superstore. It leverages time series analysis and sales forecasting to provide actionable insights and support data-driven decision-making. The dashboard is designed to visualize sales trends, key performance indicators, and forecasts in an intuitive and accessible manner.
View ProjectchatBot
February 25, 2026 – Present
A full-stack LLM-powered chat application using Spring Boot and WebSocket with real-time streaming and Markdown-rendered responses.
View ProjectData-Engineering
February 23, 2026 – Present
This project focuses on creating an interactive sales dashboard for a superstore. It leverages time series analysis and sales forecasting to provide actionable insights and support data-driven decision-making. The dashboard is designed to visualize sales trends, key performance indicators, and forecasts in an intuitive and accessible manner.
View Projectjavagovindsharma
February 11, 2025 – February 11, 2025
javagovindsharma — GitHub repository
View ProjectonlineExam
October 27, 2024 – October 27, 2024
School Management System React JS with Spring boot micro service architecture
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus on coding challenges and basic applications. While there's a stated role as 'Data Scientist' at TCS, the projects lean heavily towards general software development and competitive programming, with only two projects directly related to data science ('BillingSystem', 'Data-Engineering'). This suggests a potential misalignment with a dedicated senior Data Scientist role, requiring more depth in specific data science domains beyond basic analysis and forecasting. The breadth of technologies used in competitive programming (Java, Python, C++, Go, TypeScript) shows adaptability but not necessarily deep specialization in data science tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available, and project descriptions do not provide insight into collaboration or communication styles.