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[She/Her]
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Student at Birla Institute of Technology
Data Scientist
June 16, 2026 – Present
Algo-Media
December 21, 2022 – August 9, 2023
A YouTube Clone Website using React.JS, Material UI and RapidApi.
View ProjectBIT-SEM7-Minor-Project
November 4, 2022 – November 28, 2022
BIT-SEM7-Minor-Project — GitHub repository
View ProjectCovid-19-Analysis
January 13, 2021 – January 13, 2021
This is my Winternship Project regarding Quantitative Modelling.
View ProjectMLH-SortingList
January 13, 2021 – January 13, 2021
This is one of the tasks i got during MLH Local Hack Day: Build .
View ProjectPandas
December 31, 2020 – January 13, 2021
Pandas is a widely used Python Library for Data manipulation and analysis. It is used in Data Preprocessing and Data Cleaning.
View ProjectNumpy
December 31, 2020 – December 31, 2020
NumPy Library of Python is one of the most important Mathemetical tools containing Library in Python Programming Language. This repository contains pratical implementation of some of the attributes of NumPy Arrays and functions of NumPy Library.
View ProjectSimpleCalculatorUsingTkinter
August 7, 2020 – August 7, 2020
This is a simple calculator used for performing addition,subtraction,multiplication and division made with Python using Tkinter.
View ProjectCollegeWebsite
August 6, 2020 – December 31, 2020
This is a college website built using Java(Netbeans) and MySQL .It provides students an interactive interface for doing various college related stuff.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a breadth of technologies, indicating a willingness to explore different areas. However, the projects are primarily personal and academic, with limited evidence of collaborative or team-based work. The experience section lists 'Student at Birla Institute of Technology' as a current Data Scientist role, which is unusual and lacks detail, making it difficult to assess professional cultural fit. The diversity of projects (web development, mobile, data analysis) suggests adaptability, but also a lack of deep specialization in Data Science specifically.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.