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Siddhartha Institute of Technology and Sciences
Data Scientist
June 18, 2026 – Present
RAG_Customer_Support_Assistant-Public
April 23, 2026 – Present
Submitting Tasks given by Innomatics as part of "Innomatics_Feb_GenAI_Internship"
View ProjectGenAI_Prompt_Engineering_Tasks
April 10, 2026 – Present
Submitting Tasks given by Innomatics as part of "Innomatics_Feb_GenAI_Internship"
View ProjectNLP_Preprocessing_Engine_Tasks
March 26, 2026 – Present
Submitting Tasks given by Innomatics as part of "Innomatics_Feb_GenAI_Internship"
View ProjectInnomatics_Feb_GenAI_Internship
March 26, 2026 – Present
Submitting the tasks given by Innomatics
View Projectfastapi-car-rental
March 19, 2026 – Present
FastAPI Car Rental System | CRUD APIs, Booking Workflow, Search, Sort & Pagination
View ProjectTCS-codevita-season-13
February 5, 2026 – Present
Solutions and logic implementations for problems solved in TCS CodeVita Season 13 (Round 1). Focused on clean Python code, problem-solving approach, and efficient logic.
View ProjectFood_Delivery_Data_Analysis
January 31, 2026 – Present
Food delivery data integration and analysis using CSV, JSON, and SQL datasets for hackathon problem solving.
View ProjectAI-Powered-Network-Intrusion-Detection-System
January 4, 2026 – Present
AI-powered Network Intrusion Detection System using Machine Learning to classify network traffic as benign or malicious through a real-time Streamlit dashboard.
View ProjectRoom_Expense_Manager
December 30, 2025 – Present
A console-based shared room expense management system that enables dynamic expense tracking, member-wise spending analysis, monthly budget control, persistent state recovery, and accurate remaining-day calculations using calendar-aware logic.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards individual learning and project completion, particularly through internships and hackathons. The diversity of projects, from data analysis to AI/ML applications and competitive programming, suggests adaptability and a willingness to explore different technical domains. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit in a collaborative work environment. The single listed 'experience' as a Data Scientist starting in 2026 with no end date and marked as 'current' is unusual and suggests a potential future role or an error in data entry, making it difficult to gauge real-world professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a proactive approach to learning and applying technical skills, but collaboration, communication, and problem-solving under pressure cannot be evaluated without specific assessment data or interview insights.