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gitam university Bengaluru
Data Scientist
June 19, 2026 – Present
Loan-Manager
June 7, 2026 – Present
Unnati Loan Application is a robust, full-stack financial technology platform designed to streamline and automate the process of loan balancing.
View ProjectAI-spend-audit-tool
May 7, 2026 – Present
You're probably overspending on AI tools. SpendScope audits your team's AI tool stack and surfaces exactly where you're overpaying — Cursor, Copilot, Claude, ChatGPT, and more.
View ProjectAsync-Document-Processing-Workflow
April 30, 2026 – Present
a small production-style full stack application where users can upload documents, trigger background processing, track progress live, review extracted output, edit/finalize results, and export processed data.
View ProjectAI-First-CRM-HCP-Module
April 18, 2026 – Present
AI-first Customer Relationship Management (CRM) system, specifically focusing on the Healthcare Professional (HCP) module.
View ProjectWeatherVision
March 21, 2026 – Present
A responsive web application that integrates with the Open-Meteo API (https://open-meteo.com) to provide real-time and historical weather insights
View ProjectLinkedApply
March 11, 2026 – Present
Built a Python-based automation tool using Selenium to automatically search and apply for LinkedIn Easy Apply jobs while tracking applications.
View ProjectCultural Fit Analysis
The candidate's projects are all personal, indicating self-motivation and initiative. However, the diversity of projects leans heavily towards front-end web development (JavaScript, CSS, HTML) with only a few directly related to data science or AI. This suggests a potential misalignment with a dedicated Data Scientist role, requiring a stronger focus on statistical modeling, machine learning algorithms, and data engineering. The single listed experience as 'Data Scientist' at 'gitam university Bengaluru' starting in the future (2026) is unusual and cannot be considered current or relevant experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.