Binita Kumari Mandal

Data Scientist

https://talent.gravityer.com/binita-kumari-mandal

Backend Developer | Data Scientist | Data Analyst | Pythonista

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Data_science_R', 't-SNE', and 'Machine-Learning-Projects'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to web development technologies (Python, HTML, JavaScript, CSS) which can be beneficial for deploying data science models or building interactive dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through a variety of personal projects, including data science, machine learning, and web development. This diversity suggests a proactive learning attitude. The projects align with the target role of Data Scientist, indicating a genuine interest in the field. However, without team-based project experience or psychometric data, assessing collaboration and broader cultural fit is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.

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Projects

Virtualqaptive

April 22, 2023 – April 22, 2023

Virtualqaptive — GitHub repository

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Poll_Application

March 9, 2023 – March 9, 2023

The Poll Application is a web-based platform built using the Django web framework that allows users to create, vote, and view the results of polls. The application supports multiple polls creation by different users, with various types of questions, including multiple choice, single choice, and open-ended questions.

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Ecommerce-website

January 2, 2023 – January 27, 2023

The website displays products. Users can add and remove products to/from their cart while also specifying the quantity of each item. They can then enter their address and choose Stripe to handle the payment processing.

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Web_Development

May 10, 2022 – November 27, 2022

Web_Development — GitHub repository

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Machine-Learning-Projects

December 27, 2021 – December 28, 2021

Machine-Learning-Projects — GitHub repository

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Patterns_using_codes

December 12, 2021 – December 12, 2021

Patterns_using_codes — GitHub repository

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Analytics_pandas_part_2

March 29, 2021 – March 29, 2021

Analytics_pandas_part_2 — GitHub repository

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Indexing_knowledge

March 23, 2021 – March 23, 2021

Object selection has had a number of user-requested additions in order to support more explicit location based indexing.

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t-SNE

October 5, 2020 – October 5, 2020

t-SNE — GitHub repository

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Data_science_R

August 26, 2020 – August 26, 2020

Data_science_R — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Data_science_R', 't-SNE', and 'Machine-Learning-Projects'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to web development technologies (Python, HTML, JavaScript, CSS) which can be beneficial for deploying data science models or building interactive dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.

Binita Kumari Mandal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit