Extraction of Entities from unstructured data

I am a data scientist and am proficient at implementing machine learning models and deep learning based models, both in R and python. I also am familiar with web-scrapping using python. I have good command over various regression and classification tasks. I have a background of theoretical mathematics and statistics. I have a strong background of theoretical statistics and probability theory.

Hi I am a very experienced statistician and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

named entity extraction is pretty complex, but with right approach you can extract them. do share the data

I have submitted a similar project for an Upwork contractor, where I had to extract only numerical tables from unstructured and haphazard excel workbooks containing alphanumeric, alphabetical and numerical tables. The module was written in python.

I'm Vinayaka, a Data Scientist and Machine Learning Engineer. What kind of database are you using?

Hi ! Previously I worked on Apache spark, PrestoDB for taming big data for a long time . I have experience on parsing and applying schemas for different kinds of data. I would be available 24*7 and I'm sure that we're complete this task far before the deadline. You can message me on whatsapp +919494851506 so that we can have good interaction. Thank you.

I have good experience in dealing with unstructured data & can start it now. We can discuss more on this over chat.

Hi, I can help you to solve the entity detection. I can detect the next characteristics: Topics Extraction extracts relevant information such as Named Entities (people, locations, organizations, etc), concepts as well as facts (dates, time expressions, quantities, etc) from bodies of text. Regards