Machine Learning Enthusiast
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Two-Sigma-Connect-Rental-Listing-Inquiries
May 26, 2018 – May 26, 2018
Recruiting level Kaggle competition by Two Sigma featuring rental listing data from RentHop. The objective was to predict the number of inquiries a new listing receives based on the listing’s creation date and other features. The data came from renthop.com, an apartment listing website.
View ProjectCNN-using-Numpy
May 21, 2018 – May 21, 2018
Implementing Convolutional Neural Network architecture using numpy only
View ProjectFarmer-friendly-contextual-chatbot
March 22, 2018 – March 22, 2018
A chatbot for especially addressing the queries of farmers in India. The data used was taken from the conversations of farmers at Kisan Call Centres(KCC)
View ProjectCrop-Disease-Detection
March 22, 2018 – June 11, 2020
Built a CNN based model in Keras for identifying different types of diseases in several crops. This model finds a significant use in the field of agriculture where farmers can use it for easy and accurate detection of disease in their crops and henceforth take preventive measures.
View ProjectDigit-Recognition
November 6, 2017 – November 6, 2017
Digit recognition of handwritten dataset (available on Kaggle)
View ProjectHouse-Prices-Prediction
November 6, 2017 – November 6, 2017
Prediction of sale prices of houses using Machine Learning
View ProjectTitanic-Machine-Learning-from-Disaster
November 6, 2017 – November 6, 2017
Titanic-Machine-Learning-from-Disaster — GitHub repository
View ProjectMedical-Appointments-No-Show
November 6, 2017 – November 6, 2017
Predicting show up possibility at medical appointment using Machine learning
View ProjectMortality-Prediction-in-ICU
November 6, 2017 – November 6, 2017
Predicting survival of patients in ICU using Machine Learning
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interest in data science applications, which could indicate adaptability. However, without information on team collaboration or work style, a comprehensive cultural fit assessment is not possible. The projects are all personal, limiting insight into collaborative work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication.