Junior || B. Tech || CSE || Winner@SIH Internal Hackathon || GDG on Campus App Dev Lead || GCP || Azure || AWS || Full Stack React Native || Salesforce || AI/ML
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Budge Budge Institute of Technology
Data Scientist
June 21, 2026 – Present
leetcode-daily-tracker-telegram-bot
May 8, 2026 – Present
A fully automated, production-ready LeetCode daily streak tracker Telegram Bot and reminder bot designed to help you maintain a daily LeetCode streak by automatically checking for accepted submissions and sending escalating Telegram reminders-entirely on the cloud with zero infrastructure costs.
View ProjectVeAg_Project
December 8, 2025 – Present
VeAg (Vacant Vectors Agriculture) is a comprehensive AI-powered platform designed to detect and manage crop diseases efficiently.
View ProjectDownloadAppLandingPage
October 3, 2025 – October 3, 2025
DownloadAppLandingPage — GitHub repository
View Projectdemo_language_selection
September 16, 2025 – September 16, 2025
Demo Language Selection Page
View ProjectSociety_Management
July 2, 2025 – July 2, 2025
4th Year College Internship Project (Group)
View ProjectBuildWithAI
April 21, 2025 – April 24, 2025
Build with AI ~ Sessional Event by GDG On Campus BBIT
View ProjectVacant_Vectors_Solution_Challenge_2025
April 5, 2025 – April 7, 2025
AMVER (Automated Medical Vehicle Emergency Reservation) ~ An AI-Driven, Real-Time Ambulance & Holistic Healthcare Platform, a Pinnacle of Intelligent Emergency Response & Integrated Medical Services. AI-driven system optimizes ambulance dispatch, triage & care, ensuring rapid response, minimizing delays & enabling holistic remote Healthcare.
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse range of interests, from web development (JavaScript, CSS, HTML) to AI/ML applications (Python, Jupyter Notebook). The projects 'VeAg_Project' and 'Vacant_Vectors_Solution_Challenge_2025' align well with a Data Scientist role, indicating a proactive approach to learning and applying relevant technologies. The 'leetcode-daily-tracker-telegram-bot' project also suggests a self-driven and disciplined individual. However, the lack of professional experience beyond a current role with a future start date makes it difficult to fully assess cultural fit in a team or corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an interest in problem-solving and automation. However, without psychometric test results or interview data, it is not possible to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.