Data Analytics, Categorization and Prediction

Hello, I understood the initial scope of this project. Although i want to discuss further this job in order to prepare the final concept for this project. After Complete discussion over the call or in chat, i will prepare following things for you - Technical Project Proposal - Flow chart for this Project - Execution plan (Step by step procedure with explanation how and at what that we are going to execute a particular task)

Hi,I have gone through your project description. I could be confident if we can proceed towards more discussion. I am an individual developer and you will be working directly with me if we proceed work on this project. My key skills are - 1)Ruby 2)Ruby On Rail 3)Angular JS 4)Node JS 5)PHP with codeigniter and Laravel Framework. Let's initiate our chat so we can proceed towards conclusion of this project scope and give it a start as soon as possible. Thank & Regards Prashant Shinde

I am a software engineer with wide range knowledge in data analysis and big data analysis by use of ID3 algorithms. I will handle the task amicably. Let's share details.

Hi, I have read and understood the project description and possess the skills required to meet your needs. Please give me a chance and reply. Thanks.

I am an expert in data mining and predictive modeling. I have a PhD in Physics and I have extensive experience in machine learning applications, statistics and software development (web, mobile, desktop, SaaS). I work with R, Python, Spark, SQL, noSQL, Hadoop, .NET, Java, Angular JS, Quantopian, C#, and Tableau.

We have gone through the data flow that you have designed and propose the following: 1) Using Twitter for categorization - a) Does Twitter data closely resemble the kind of data you are looking to categorize? If yes, then we can go ahead with this methodology. If no, we need to find a lookalike to understand the data. This can be done via scraping websites that will be a part of this project. b) There are multiple methods of categorization. What you are looking for is a semantic method of categorization(which is doable based on business insights if the content type is expected to be fairly static). However, if you want your software to be time resistant (discover new topics trending and self categorize), we would need to a unsupervised machine learning model to predict the category of content. 2) Sentiment analysis: a) We are assuming the data is more or less in English. b) We have to set up NLP(Natural language processing) methods to discover sentiment(most preferred way). Another way would be to create sentiment identifier logic (hardcoded) based on existing content. 3) DB dump: a) Once data is aggregated and processed, dumping it to the DB is a piece of cake. However, I believe the categorization workflow and the data workflow would need to be different to be truly agile. Note: The quote mentioned is just an indicator, we would need to discuss the approach before committing to the project.

I have worked on Various Banking clients on AML as a financial Risk Analyst where I have worked on risk model validation, actuarial transformation, Risk analysis , Predicting models and trade surveillance forecast . I have also worked on text analytics using R for an insurance firm for predicting customer behaviour analysis then plugged the corpus data (tags) into tableau for efficient decision making. I am interested in doing this assignment as I have worked on the details in my past working experience so I am able to provide the best solution for this problem. feel free to reach out to me for further details. looking forward to work with you.