➡️Data Science student passionate about Machine Learning, AI, and building real-world ML applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Shobhit University, Meerut
Data Scientist
June 14, 2026 – Present
Face-mask-detection
May 5, 2026 – Present
A deep learning project using CNN and OpenCV to detect face masks in real-time with Streamlit deployment.
View ProjectPortfolio
April 30, 2026 – Present
“Personal portfolio of Himanshu Raj Giri (B. Tech CSE, 3rd Year, Data Science specialization) with projects and GitHub contributions.”
View ProjectInstagram_lifestyle-analysis
February 13, 2026 – Present
Instagram Usage & Lifestyle_Analysis using EDA and Machine Learning.
View ProjectAmazon-reviews-Dashboard
February 11, 2026 – Present
“Amazon Reviews & Ratings Dashboard – Cleaned with Python, Visualized in Power BI”
View ProjectCOMPLAINT_BOX-miniFullStackProject
January 28, 2026 – Present
A simple "Full-stack web application" where users can register, log in, submit complaints, and an admin can view all complaints. This project is built for learning full-stack development using Flask and MySQL.
View ProjectDisease_Prediction
November 27, 2025 – November 27, 2025
Disease_Prediction — GitHub repository
View ProjectVoice-translator-App
October 24, 2025 – October 24, 2025
Voice-translator-App — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and project-based development, which aligns with a culture that values initiative. The diversity of personal projects, from deep learning to web development, suggests a broad interest in technology. However, the experience level is very low, and the listed 'Data Scientist' role at Shobhit University is future-dated, making it difficult to assess real-world cultural fit without more information.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.