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Dy Patil University
Data Scientist
June 20, 2026 – Present
crop-disease-diagnosis-powered-by-gemma
May 15, 2026 – Present
crop-disease-diagnosis-powered-by-gemma — GitHub repository
View Projectpetro-connect-manager
January 31, 2026 – Present
petro-connect-manager — GitHub repository
View Projectpetro-connect-dashboard
January 31, 2026 – Present
petro-connect-dashboard — GitHub repository
View ProjectSDE-Intern-Unbox-Robotics
May 31, 2025 – December 21, 2025
Software Development Intern at Unbox Robotics Private Limited
View Projectpetrol-pump-management
March 20, 2025 – March 20, 2025
petrol-pump-management — GitHub repository
View Projectspeedometer-backend
December 11, 2024 – December 11, 2024
speedometer-backend — GitHub repository
View Projectspeedometer-unbox
December 10, 2024 – January 26, 2025
Speedometer: An interactive, full-stack Speedometer Application designed to monitor GPS speed and efficiently manage speed data.
View Projectgas_utility_services
November 30, 2024 – December 2, 2024
Django Framework application with MYSQL database for gas utility services. The applications provides and online interface for customers to submit requests and track them.
View Projectresume_screening_backend
October 22, 2024 – October 22, 2024
resume_screening_backend — GitHub repository
View ProjectShetkari
November 28, 2023 – July 25, 2024
Java Project AgroConnet - Empowering Indian Farmers
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, including web development, backend services, and data-related applications. This indicates a proactive and curious individual. However, the target role is 'Data Scientist', and while some projects align, many lean towards general software development. The 'Data Scientist' role listed under experience is current but starts in 2026, which is unusual and requires clarification. This makes assessing direct cultural fit for a Data Scientist role challenging without more context on their actual contributions and interests.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like problem-solving approach, collaboration, or communication style. Operational fit is hard to determine without more detailed project context or team involvement.