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Assessing your cultural and operational fit
Know_Your_Landscape
March 15, 2024 – March 15, 2024
The project facilitate a way for knowing the landscape through the analysis of time series variables is crucial for effective natural resource management, environmental monitoring, risk assessment, and recognition of ecosystem services, ultimately contributing to sustainable development and resilience of the micro watershed ecosystem.
View ProjectNREGA_Asset_Categorization
March 15, 2024 – March 15, 2024
This project automates the categorization of works based on predefined rules and keywords. It provides a flexible framework to categorize large datasets efficiently and accurately. The code includes utility functions for data cleaning, keyword-category mapping, and categorization application, making it easy to integrate into various workflows.
View ProjectChange-Detection
June 29, 2023 – June 29, 2023
Change Detection withing video frames using background subtraction.
View ProjectInfosys-Learning-Contents
November 24, 2021 – December 10, 2021
Infosys-Learning-Contents — repository
View ProjectTask-manager
June 2, 2020 – October 26, 2020
After learning a topic or a chapter, it needs proper revision. This is a very customized app. This will help you to give you proper reminder as you set your reminder. For example 'pointer concept in C language', in day 1 you need to revise it on day 3, day 5, day 12 and then one day in every month. This app you will give you these reminders on that days.
View ProjectMess-Management
December 18, 2019 – January 13, 2020
Simple Mess-Management Website in Python Flask
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an interest in various technical areas, including web development, task management, and data analysis. The 'NREGA_Asset_Categorization' and 'Know_Your_Landscape' projects align with the target role of Data Scientist, indicating a potential fit for data-centric roles. However, the overall project diversity is broad, and specific contributions or team collaboration aspects are not detailed, making a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.