Data Analysis

Python

Python is a powerful, versatile language that can be used to create a wide variety of projects. From data science and web development to game development and automation, there are countless Python-based projects to explore. With its simple syntax and intuitive nature, Python is the perfect language to get started with coding projects. Whether you’re a beginner or an experienced programmer, Python projects are a great way to learn more about the language and hone your programming skills. With so many different types of Python projects available, you’ll never run out of ideas for what to build next.

Power BI

Power BI is a powerful tool for data analysis and visualization that is used by many companies and organizations around the world. It helps to make data-driven decisions quickly and accurately, as it provides real-time insights into the data. Through the use of Power BI, you can identify trends, gain deeper insights, and explore new opportunities for growth. We provide a comprehensive suite of services to help you get the most out of your data. With our expertise, you can be sure that you’ll get the most relevant and meaningful data insights.

Chromatogram Visualization Tool

The chromatogram visualization tool built with Python to help users view chromatogram data in an easy-to-understand and interactive way.

Golden Batch Analysis in Python

I replicated a comprehensive analysis of batch data using Python, including Principal Component Analysis, Partial Least Square Regression, and error assessment between "golden" and similar batches, yielding valuable insights into process performance.

Noise Noise Everywhere

Polynomial regression grapples with noisy data, challenging R-squared values. This article uses Python and techniques like Cook's and Mahalanobis Distance to enhance model reliability.

PivotTable Based Impurity Analysis

Using PivotTable in Excel and Python to perform impurity analysis of chromatographic data.

Creating an Impurity Dashboard using Power BI

Discover actionable insights and enhance data-driven decision-making with a powerful Impurity Dashboard built using Power BI.

Minitab Mastery: Unleashing the Power of Data in 5 Sessions

Are you ready to elevate your data analysis skills to the next level? Join my comprehensive Minitab training series designed for both beginners and intermediate users. Over the course of five enlightening sessions, you will embark on a journey to master the essential features and functions of Minitab, a powerful statistical software widely used for quality improvement and data analysis.

Not-So-Common Plots in Statistics

Let's explore the world of data analysis, where we'll not only dive into regression but also venture into Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression. Along the way, we'll encounter various plots that reveal important patterns.

In regression, we'll look at classic residual plots. In PCA, we'll explore scree plots, loading plots, and biplots that help us understand data structure. For PLS regression, we'll examine model selection plots, response plots, and coefficient plots that show how different factors affect outcomes. Additionally, we'll explore distance plots and component evaluation plots to understand relationships and model performance.

Resume Maker

Based on an Excel table, I have created a resume using simple Python coding, which can be extended to multiple pages.