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Assessing your cultural and operational fit
covidSlotNotification
May 8, 2021 – May 8, 2021
covidSlotNotification — GitHub repository
View ProjectWal-Mart-nasdaq
August 24, 2018 – August 26, 2018
Dataset for Walmart-Nasdaq (last 3 months)
View ProjectNeural-Networks-for-classifying-Paddy-crop-s-nutrient-deficiency-
February 25, 2018 – August 16, 2019
Neural-Networks-for-classifying-Paddy-crop-s-nutrient-deficiency- — GitHub repository
View ProjectSmart-Agriculture-using-IoT-and-Machine-Learning
February 17, 2018 – February 25, 2018
The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure
View ProjectCultural Fit Analysis
The candidate's projects indicate an interest in applying data science to real-world problems (e.g., agriculture, COVID-19 notifications). The diversity of project topics (IoT, ML, web scraping, finance) suggests a broad curiosity, which can be a positive for cultural fit in an innovative environment. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.