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Data Science Enthusiast | Data Analysis | Machine Learning | Python | SQL
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Assessing your cultural and operational fit
EDA-on-NYC-Taxi-Trip-Duration-Prediction
August 22, 2020 – August 22, 2020
In this analysis, we are going to perform the Exploratory Data Analysis (EDA) to build a model that predicts the total ride duration of taxi trips in New York City.
View ProjectCOVID19-Data-Analysis-Using-Python
August 20, 2020 – August 20, 2020
By the end of this project, we will have pre-processing of data and merge datasets to calculate needed measures and prepare them for an Analysis. For the dataset, we are going to work with COVID19 dataset, published by John Hopkins University
View ProjectThe-Best-Classifier-Machine-Learning-models
August 20, 2020 – August 20, 2020
My task is to find the best classifier among the four different ML algorithms for a particular dataset
View ProjectRecommendation-of-location-for-restaurant-in-London
June 18, 2020 – June 19, 2020
Recommendation of location to open a restaurant in London using K-Means Clustering algorithm
View ProjectSegmenting-and-Clustering-Neighborhoods-in-Toronto
June 18, 2020 – June 18, 2020
The main objective is to analyse the Neighborhoods in Toronto by Segmenting and Clustering techniques
View ProjectCoursera_Capstone
June 14, 2020 – June 14, 2020
Coursera_Capstone Offered by IBM Data Science
View Projectgithub-example_1
June 13, 2020 – June 14, 2020
This repository is a demonstration of how to create a Git hub Repository and properly set it up
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a self-starter attitude and a focus on practical data science applications, which could align with a culture that values hands-on problem-solving. However, the projects are all personal and lack team collaboration context, making a comprehensive cultural fit assessment difficult. The diversity of projects (clustering, classification, EDA) suggests adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.