![Screenshot 2022-02-17 215420_edited.jpg](https://static.wixstatic.com/media/5f5f05_844d22e8d2d3472586db3c29f88bf64c~mv2.jpg/v1/fill/w_147,h_64,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/5f5f05_844d22e8d2d3472586db3c29f88bf64c~mv2.jpg)
Paper Company Performance
Link to this project
Using Tableau, I was able to demonstrate and answers questions like:
- The Central region is dominating sales with 57% of sales during this time period
- Sales performance started out as unstable, but the last 4 months have seen a steady increase in sales
- 5 salespeople are below the median sales rep performance for this period
- 2 salespeople are significantly low in terms of sales
- Binders and Pen Sets have sold the most over this time period
- Desks and Binders have the highest selling prices
- Desks have the highest selling price, but the lowest sales
Anomaly Detection
February 21st, 2022
Anomaly Detection with ARIMA model Anomaly Detection means to identify unexpected events in a process. It means to detect threats to our systems that may cause harm in terms of security and leakage of important information.
The importance of Anomaly Detection is not limited to security, but it is used for detection of any event that does not conform to our expectations. Here I will explain to you how we can use ARIMA model for Anomaly Detection.
![Anomaly_Detection_edited.jpg](https://static.wixstatic.com/media/5f5f05_fcb411abd5ac4d53841b2df0098a1da5~mv2.jpg/v1/fill/w_141,h_60,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/Anomaly_Detection_edited.jpg)
Forest Cover Type Prediction
January 27th, 2022
Using the provided dataset, accurately predict the predominant type of tree cover
Using Python libraries and modules, clean data and prepare for modeling and visualizations
Creates visualized models to emphasize the data into an easier method of understanding
With the refined data and various algorithms, make predictions and compare accuracies
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Biodiversity in National Parks
In this project, I chose to take data of national parks and make correlations of species vs conservation status using data visualizations
![download (2)_edited_edited.jpg](https://static.wixstatic.com/media/5f5f05_7f1ecdc7a9e243248dadf049883ceb41~mv2.jpg/v1/fill/w_115,h_105,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/download%20(2)_edited_edited.jpg)