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

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.

Feature Engineering with Python

☺️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.

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.

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.

Risk Analytics using Python