PYTHON or JAVA expert for supervised and unsupervised learning for dynamic categorization system

Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. Please visit : https://www.freelancer.com/u/schoudhary1553 I have excellent command over English. I am a hard worker, productive and worthy of your attention I hope, I would be the right candidate for this post. Awaiting an affirmative response from you. Kinds Regards, Sandeep

Hi. As I am a professional developer, I can do your job perfectly ASAP and I want to work with you If you hire me and give me a chance to prove my abilities, so I will give you the best results with my professional skills and will do my best to make the project success I am sure I can help you Thanks :)

Hi, Hope you are doing well. I would like to assist you regarding this project. Do reply to discuss further details Thanks

Hey, Here is my plan on how I would work on this: 1. Create the database if its not present already. 2. clean the data to bring it to structures format. 3. Extract the features from the ticket text. 4. Build the classification model by considering important features using ngrams or bag of words approach. 5. Categorize tickets using the model. 6. Verify the accuracy and tweak the model to improve the accuracy if needed. 7. Sending the ticket to the person responsible for each category should be handled by application. (The description here was vague, so i do not if there is a system in place already to fetch the person in charge of each category) 8. Determining priority of ticket should be done based on the features. Not sure how you assign priority, but we can build a machine learning model and feed previous ticket and their priority levels to predict the priority of next incoming tickets. 9. Same with the estimated time. I would go with python just because of the vast library system it has. We can use text summarization techniques to extract keywords / annotations from text. Let me know if you like my plan, we can jump ahead and start working on the project. Thanks and Regards, SG.