🗓️ iCalendar proxy reshaping the data for your needs

Data associated with properties (real estate) rom heterogenous sources is integrated to get a sense of the information as a whole.

This is a Project which uses live weather data using API, and predicts visibility in the weather.

Like the mudlark finding treasures on the foreshore, the datalark seeks treasures hidden within messy data!

ADVANCE JAVASCRIPT PROJECT 1

This is Streamlit app that gives an overview for a dataset you upload

Amazon SP Catalog ETL

Scalable and efficient LCH CDS pricing data scraper with Docker support, enabling streamlined ETL processes to MSSQL database. Designed for robust performance with advanced error handling.

Shell Scripting, Data Transformation, Data Cleansing | Data Engineer Project-Based Internship | Kalbe Nutritionals

This project is done as part of Codebasics Data Analyst Bootcamp

A Udacity Power BI project on an online clothing store

This interactive HR Analytics Dashboard provides a dynamic view of employee turnover across various departments, job roles, demographics, and salary.

Learn to use the db platform professionally through the creation of an exhaustive, real-world, hands-on dbt covering both Theory and Practice

Built a Visual Dashboard for communicating information to stakeholders using Python libraries (Pandas, Seaborn and Numpy)

The Data Science Internship repository is designed to provide hands-on experience with real-world data science projects. It includes a variety of projects focused on key aspects of data science such as data cleaning, exploratory data analysis, data visualization, feature engineering, and machine learning.

Documentation and scripts of the ConDÉ project, description and step-by-step for eventual additional tasks on the ConDÉ corpus.

Erlang data-transformation and validation micro library

A package for defining (and performing) tabular-data transformations with JSON.

This project focuses on scraping data related to video games from the GameRevolution website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.