crime rate pattern detection in 5 high and low crime rate areas in usa using twitter data

I am a data scientist proficient in machine learning, statistical analysis and web scrapping. My expertise in Python and R have comes from my experience in Natural Language processing, statistical analysis, web scraping etc. I also have a strong background of theoretical statistics and mathematics. I am good at the following: - Deep learning for natural language processing including used of RNN, CNN etc. - Web scraping using python, requests, selenium etc. - Statistical Modelling using R and python

Hello, ‌Hope you doing well.I have checked all your requirements and we able to do this and deliver in time.I have 5 years of experience in these types of work. So, I believe we can do that work with your support. ‌Regards

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Hi, I can start working on your projects immediately. I have rich experience in developing projects in python using machine learning and deep learning concepts. Some of the projects which I have developed includes people counting algorithm over crowd images; vehicle detection and distance estimation using dash cams; virtual assistant using google cloud Speech to Text and Text to Speech. For knowing more about other projects which I have done, please refer my profile. We can discuss more about your project requirements over chat. I look forward to hear from you. Thanks!

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I will be using R, for data extraction post which we can use data visualization tools like Excel or PowerBI to analyze the data.

Am very active and silent workers in twitter so ok with any work so Relevant Skills and Experience Web search posting in twitter with .. fluently and creativly so

Hello ! I see that you need some help with Crime rate pattern detection in 5 high and low crime rate areas in US using twitter data that you have. In the past, I have worked on various projects from end-to-end which included data scraped from twitter. Some of the examples are as follows, • Sentiment analysis to predict the next prime Minister of Canada using Twitter and YouTube Data. • Crime analytics: Predicting the category of the crime in San Francisco. I am a great fit for the job because as a current Data scientist, my goal is to work with messy data and provide clean and meaningful insights and desired results for the client. I strive for quality work keeping the client’s requirements at the top. If we were to get started, here’s how I would approach this project: 1. Chat with you to determine the exact requirements and document it. 2. Start working on the Project while keeping you in the loop. 3. Submit the results based on the deadline we decide. Do you have any questions for me?

Hi, I’m a data consultant with 3 years experience. I’m currently pursuing my masters in data science. I have experience with scraping, regression and machine learning. Please let me know if you need any more information.. Thanks