Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Wrangler Transform: A DMD system for transforming Big Data

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

The website is now described as an educational resource for data management, with the objective of educating, engaging, guiding, and providing resources.

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Data Cleaning, Exploration, and Insights

Two Mixed Integer Programs for cleaning a data file.

This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.

Analysis of songs from the period 18 October 2024 to 1 May 2024 from Spotify data.

Google Data Analytics Professional Certificate program instructs on how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL, Tableau and R programming.

Python package to make URL extraction, generalization, validation, and filtration easy.

Data Science Foundations I | Exploratory Data Analysis in Python | Inspect, Clean, and Validate a Dataset | EDA: Inspect, Clean, and Validate a Dataset

Main Repository

Used SQL, Power BI to make insightful dashboard

This repository houses a curated collection of projects designed to highlight my expertise in data analytics.

Comprehensive Power BI dashboards showcasing insights on Call Centre Trends, Customer Retention, and Diversity & Inclusion to drive business impact.

📊Customer Personality Analysis, using various Data Mining techniques and Machine Learning algorithms.

Predictive modeling project by implementing KNN regression model.

Interactive Dashboard Web-app :