Pinned Repositories
Bank-Card-Location-Detection-System
Developed and proposed a system for banks that uses GPS to track the location of the bank (ATM, credit, debit) card when requested by its user if misplaced or suspected to be theft, and subsequently notifies the cardholder through the mobile banking app notification, E-mail, and SMS.
datasciencecoursera
datasharing
The Leek group guide to data sharing
Exploratory-Data-Analysis-on-The-World-Happiness-Report-Datasets
Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.
sagarikamehta
Students-Academic-Result-Analysis
R (RStudio) | ggplot2 | k-means clustering | Analyzed the 2015-16 and 2016-17 academic result datasets of all my batchmates using cluster analysis to segment them into groups, detect outliers in their academic performance and analyze it for better refinement of habits to help improve their future academic results.
Twitter-Sentiment-Analysis-for-US-Airlines
Used natural language processing (NLP) to analyze tweets for US Airlines on Twitter; classified and predicted the positive, neutral, and negative sentiments behind the tweets that can help airline brands gain user insights and strategize efficiently.
sagarikamehta's Repositories
sagarikamehta/Bank-Card-Location-Detection-System
Developed and proposed a system for banks that uses GPS to track the location of the bank (ATM, credit, debit) card when requested by its user if misplaced or suspected to be theft, and subsequently notifies the cardholder through the mobile banking app notification, E-mail, and SMS.
sagarikamehta/datasciencecoursera
sagarikamehta/datasharing
The Leek group guide to data sharing
sagarikamehta/Exploratory-Data-Analysis-on-The-World-Happiness-Report-Datasets
Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.
sagarikamehta/sagarikamehta
sagarikamehta/Students-Academic-Result-Analysis
R (RStudio) | ggplot2 | k-means clustering | Analyzed the 2015-16 and 2016-17 academic result datasets of all my batchmates using cluster analysis to segment them into groups, detect outliers in their academic performance and analyze it for better refinement of habits to help improve their future academic results.
sagarikamehta/Twitter-Sentiment-Analysis-for-US-Airlines
Used natural language processing (NLP) to analyze tweets for US Airlines on Twitter; classified and predicted the positive, neutral, and negative sentiments behind the tweets that can help airline brands gain user insights and strategize efficiently.