aarshg28
I am a masters graduate with a profound interest in technology, data and a dedication to solving complex problems.
Charlotte, North Carolina
Pinned Repositories
Apple-Stocks-Data-Analysis
By examining data from the stock market, notably from some of the world's largest technological companies and others. We will use pandas to obtain stock data, visualized several elements of it, and then looked at a few different approaches to analyze a stock's risk based on its past performance history.
Predective-Maintainence-for-Fault-Detection
Recent studies on predictive maintenance help industries to create an alert before the components are corrupted. Prediction of component failures, companies have a chance to sustain their operations efficiently while reducing their maintenance cost by repairing components in advance.
Supply-Chain-Analysis
With the growing usage of ecommerce websites, The demand to get the product delivered is also increasing. So to meet today's societies expectation to deliver the product as early as possible we need predictive analysis of shipments and why certain shipments are being delayed.
Healthcare-Data-Analysis
This project aims to conduct an exploratory data analysis (EDA) on healthcare data using Python. Exploratory data analysis is an essential step in understanding the characteristics of a dataset before applying any machine learning models or drawing conclusions.
Financial-Analysis-Report-Using-Tableau
This project showcases a Profit and Loss Statement Dashboard created using Tableau. The dashboard analyzes financial metrics such as Sales, Net Profit, Gross Profit, Net Profit Margin, and Gross Profit Margin to provide insights into the financial performance of a business.
Apple-Store-Applications-Data-Analysis
This project aims to provide insights into the Apple Store's app ecosystem by analyzing a dataset that includes details about various apps available on the platform. Key questions addressed include identifying the most popular app categories and strategies for maximizing user ratings.
UNC_Charlotte_Coders_Club
CalculatorLab-fork
Developed a starter code for student to build a basic calculator which performs Scientific operations, Simple Operations with the help of python programming as a part of course work for ITSC 3155.
Classification-and-Action-Rule-Extraction-using-Fragile-State-Index
We calculate how a country should shift from alert to a warning condition using Action-Rules. This focus also emphasizes the importance of each dataset attribute in generating the country's fragile state index.
Frontend
aarshg28's Repositories
aarshg28/Apple-Store-Applications-Data-Analysis
This project aims to provide insights into the Apple Store's app ecosystem by analyzing a dataset that includes details about various apps available on the platform. Key questions addressed include identifying the most popular app categories and strategies for maximizing user ratings.
aarshg28/Predective-Maintainence-for-Fault-Detection
Recent studies on predictive maintenance help industries to create an alert before the components are corrupted. Prediction of component failures, companies have a chance to sustain their operations efficiently while reducing their maintenance cost by repairing components in advance.
aarshg28/Supply-Chain-Analysis
With the growing usage of ecommerce websites, The demand to get the product delivered is also increasing. So to meet today's societies expectation to deliver the product as early as possible we need predictive analysis of shipments and why certain shipments are being delayed.
aarshg28/Financial-Analysis-Report-Using-Tableau
This project showcases a Profit and Loss Statement Dashboard created using Tableau. The dashboard analyzes financial metrics such as Sales, Net Profit, Gross Profit, Net Profit Margin, and Gross Profit Margin to provide insights into the financial performance of a business.
aarshg28/Healthcare-Data-Analysis
This project aims to conduct an exploratory data analysis (EDA) on healthcare data using Python. Exploratory data analysis is an essential step in understanding the characteristics of a dataset before applying any machine learning models or drawing conclusions.
aarshg28/Apple-Stocks-Data-Analysis
By examining data from the stock market, notably from some of the world's largest technological companies and others. We will use pandas to obtain stock data, visualized several elements of it, and then looked at a few different approaches to analyze a stock's risk based on its past performance history.
aarshg28/UNC_Charlotte_Coders_Club
aarshg28/Frontend
aarshg28/frontend-internship-assignment
aarshg28/interactly.io
aarshg28/CalculatorLab-fork
Developed a starter code for student to build a basic calculator which performs Scientific operations, Simple Operations with the help of python programming as a part of course work for ITSC 3155.
aarshg28/Classification-and-Action-Rule-Extraction-using-Fragile-State-Index
We calculate how a country should shift from alert to a warning condition using Action-Rules. This focus also emphasizes the importance of each dataset attribute in generating the country's fragile state index.