Example code accompanying the sternberg concept cell data release for Kyzar et al. (2024)

A digital transformation of cyber assessment and authorization data with a relational schema

A comprehensive tool for converting hospital pricing data from CSV to JSON format, designed to ensure compliance with the CMS Hospital Pricing Transparency mandate. Features include automated schema validation against CMS versions 2.0.0 and 2.1.0, a user-friendly Streamlit web interface for easy data handling, and multiple schema versions.

Feature Engineering with Python

A Python-based data cleaning project to streamline Quickbooks invoice data for analysis, paving the way for improved insights into sales, pricing, and inventory management.

data rescaling, normalization and standardization techniques

Highlighting expertise in data migration, data normalization and standardization, this project demonstrates successful data transfer from Snowflake to Databricks. It emphasizes optimized data flow and enhanced accessibility through standardization, showcasing a commitment to ethical data practices.

Hi folk, During my internship at KultureHire, I completed an end to end Data Analytics project. I created an executive and functional dashboard using pivot tables, conducted a thorough analysis, and provided actionable recommendations. I'm excited to share my work and the insights I discovered.

This project is about cleaning and preparing a global layoffs dataset for analysis, focusing on handling null values, correcting data types, and ensuring data integrity for more accurate insights.

Unifying Biotic Interactions Data: Terminology, Data Analysis, Standardization, and Proposal of a Data Schema for Plant-Pollinator Interactions

The call center provided a messy dataset of customers. The objective was to clean, standardize, and remove duplicates to create an accurate, organized contact list. I used Pandas to load, explore, clean, and export the data, delivering a refined list ready for effective customer outreach.

In this project, I analyzed an HR dataset using SQL to identify key insights on employee retention, job satisfaction, and performance across departments, providing actionable recommendations to enhance HR strategy and employee engagement.

This Data Analytics project focused on understanding the career preferences and motivations of Generation Z.Through survey data and analysis, this project aims to identify key trends and factors influencing their career choices, providing insights for employers,educators, and recruiters looking to engage with this new generation of talent.

☺️Hi folk, During my internship at KultureHire, I completed a real-world Data Analyst project. I created an interactive dashboard using pivot tables, conducted a thorough analysis, and provided actionable recommendations. I'm excited to share my work and the insights I discovered.

Risk Analytics using Python

This repository contains SQL scripts and documentation for cleaning and standardizing data in the NashvilleHousing table within the sqlproject2 database. The project aims to prepare the dataset for analysis by addressing inconsistencies, filling missing values, standardizing formats, and removing duplicates.