Collection of various algorithms implemented in R.
Collection of personal SQL projects and queries I've worked on, showcasing my skills and expertise in database management, data analysis, and data manipulation using SQL.
A poor man's version of a pandas DataFrame for dart.
Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.
High performance & light weight alternative to Pandas with ML focused tooling. (Work in progress x100!)
In this online program, I completed similar tasks that KPMG Graduates do in the company. I learned what it is like working at one of the world’s best data analytics team, and built skills required to excel as a analytics consultant.
Welcome to my GitHub project repository, where I have meticulously curated a collection of my data-related endeavors. Within these digital pages, you'll find a comprehensive overview of my projects, showcasing my skills and experiences in the realm of data analysis.
Projeto de um painel interativo em Python usando Plotly e Streamlit para visualização e pandas/Numpy para análise de dados de uma loja fictícia chamada “Clothing Store”. Com dados de 3900 clientes, o painel foi desenvolvido para apoiar decisões estratégicas, seguindo etapas de pré-processamento e construção visual com filtros, cartões e 2 páginas.
This project explores underlying factors contributing to farmer suicides in India and facilitating targeted interventions. Using advanced data visualization techniques, this report provides a comprehensive analysis of several factors such as Regional trends and hotspots, causes & correlations etc.
This project involves working with comprehensive football dataset covering the Top 5 leagues in Europe from 2014-2020. I worked on Data Extraction,Data cleaning and manipulation,Data Modelling and Data Loading
This repository is for newcomers into the data science world. It Summarizes three key areas Data Exploration,Manipulation and Data Cleaning
The Health Tracker App redefines wellness tracking through cutting-edge technology. Powered by Streamlit, Firebase, and the Nutritionix API, it provides seamless user experiences and in-depth health insights. Users can effortlessly monitor food intake, exercise, and sleep patterns, and create their own secured personalized profiles. Track wellness!
this repository is created to the learning purpose of R programming language
Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)
Datacamp Projects
This is a data analysis and time series prediction that was based on labor absent records in Thulhiriye MAS Factory.
DataCamp Project Solutions
Analysis was executed using MySQL on the IPL granular datasets which was available for the period 2008 to 2017
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