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Indraprastha Institute of Information Technology
Data Scientist
June 18, 2026 – Present
Recipe-finder-app
January 17, 2025 – January 17, 2025
Recipe-finder-app — GitHub repository
View ProjectMachine-Learning-CSE543
June 19, 2023 – June 19, 2023
This repository contains all the Assignments & Projects completed as a course-work for Machine Learning
View ProjectUPIGO
June 8, 2022 – June 13, 2022
Unified Payments Interface (UPI) APIs using Django REST Framework.
View ProjectMedster-app-NodeJS
November 5, 2020 – November 19, 2020
Medster-app-NodeJS — GitHub repository
View ProjectPassword-Hash-Calculator
July 18, 2020 – July 18, 2020
A calculator which converts string into hash according to algorithm chosen by the user.
View ProjectPassword-generator-Django
July 2, 2020 – October 1, 2020
Python based Web application for generating unique passwords with the filters applied by the user.
View ProjectEmail-Broadcasting-App-Django
June 22, 2020 – September 30, 2020
A web app for sending a message or alert to multiple email address
View ProjectQ-A-app-Django
June 15, 2020 – October 3, 2023
It is a python based qna web application using Django.
View ProjectMotion_Detector-using-Python-and-OpenCV
December 28, 2019 – December 28, 2019
In this, we are using python and open source computer vision for detecting the object.For analysing and creating the dataFrame we use pandas library. For plotting the graph I have used "Bokeh" library. In this what we do is we capture the first frame of the video and find the difference of it with other frames when a moving object comes in and save the entry and exit time in the dataframe named Times. csv.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and web development-focused (Django, NodeJS, HTML/CSS/JS), with some machine learning/data science projects. This indicates a broad interest but a less focused alignment with a dedicated Data Scientist role based on project diversity. The future-dated Data Scientist role suggests aspiration but lacks current, verifiable experience. The absence of detailed project descriptions makes it difficult to assess cultural fit beyond technical interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a future-dated role. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.