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kerala_2016_streamlit_app
March 24, 2021 – March 24, 2021
streamlit app based on 2016 legislative assembly election
View Projectnobel-data-scraping-munging-cleaning
July 4, 2020 – July 4, 2020
Data and code used to get, preprocess, clean and mung the data from https://www.nobelprize.org/about/developer-zone-external-resources-and-examples/
View Projecthiv_aids_who_unesco_data_cleaning
June 7, 2020 – June 12, 2020
The repository contains notebook used to clean data on HIV data from WHO website
View Projectdatacamp-projects
May 24, 2020 – May 24, 2020
Repository contains completed datacamp projects
View Projectflights-crash-data-web-scraping-cleaning
May 19, 2020 – May 27, 2020
Repository contains notebooks and datasets on no. of flights departures, passengers flew, flights crashed etc.
View Projectcovid-19-india-data
March 11, 2020 – October 1, 2020
data and code for scrapping and cleaning data on covid-19 in India from https://www.mohfw.gov.in/ and https://www.covid19india.org/
View Projectmers_dataset_collection_cleaning
March 8, 2020 – May 24, 2020
data extracted from https://www.who.int/emergencies/mers-cov/en/
View Projectebola_outbreak_dataset
March 8, 2020 – May 24, 2020
The repository contains data and code for scrapping and cleaning data on Ebola outbreak in 2014
View Projectcovid_19_jhu_data_web_scrap_and_cleaning
March 6, 2020 – November 1, 2020
This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/
View Projectsars-2003-outbreak-data-webscraping-code
March 1, 2020 – May 24, 2020
repository contains complete WHO data of 2003 outbreak with code used to web scrap, data mung and cleaning
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on data scraping and cleaning, primarily using Jupyter Notebook. While this shows initiative, the lack of diverse project types, team involvement, or broader data science applications (e.g., modeling, visualization beyond basic Streamlit) suggests a narrow scope. The target role 'Data Scientist' typically requires a broader skill set than currently demonstrated. The projects align with data engineering or data analyst roles more closely than a senior data scientist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and lack team collaboration context.