Here you will find various cases, with a roughly increasing degree of awareness, showing the symptoms of those who need a statistical model as a diagnosis and, in some cases, also as a therapy.
Extract important information through statistics, using data from our CRM (a kind of database for potential clients, customers, but not only, Ed).
I have data in Excel format that I want to turn into an industry report full of insights, knowledge.
I need someone to take the variables within the file and create the best formula and ratio of these variables to reconstruct the last number.
I would like to find rules that help identify the value of column 20 based on the values of the other columns.
I follow each participant for 10 days and measure their blood pressure. So now I have several observations for each participant. I want to see if a negative experience from day 1 affects blood pressure on day 2.
I need to understand how, for each participant and for each day, for example, how variable x from day 1 predicts blood pressure on day 2
We expect the candidate to provide in-depth, well-researched analysis and practical recommendations that can help guide future marketing initiatives. The analysis should be thorough, offering a comprehensive view of the promotion’s performance and possible areas for improvement. To make a long story short, we need evidence that sweepstakes make financial sense.
I am a real estate appraiser in the U.S. and would like to see if an artificial intelligence can:
- Extract real estate data from public records and enter it into a form-filling program
- In Italy, just look at this website of the Italian Revenue Agency.
- Learn how we appraisers make adjustments for elements that contribute to the value of a home (based on hundreds of cases)
- Reduce the average time to write an appraisal from 2 hours to less than 30 minutes.
- This is an opportunity to dramatically increase the number of appraisals a single appraiser can write in a day.
I need someone to determine whether the series of events are from simple statistical noise or intelligent behavior. More specifically, I have 17 events in 952 days.
Our bank is facing the challenges of optimizing our marketing campaigns, and we are seeking expert help. Recent campaigns have left us perplexed, and we urgently need insights to shape future strategies. We are seeking a skilled data analyst to analyze our recent campaign marketing dataset, revealing recurring patterns that will guide our marketing efforts.
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The goal is to predict and translate into strategy whether or not a customer will subscribe to the deposit, shown in the last column.
We have a table with 3 variables: crop type, variety, location, for an output variable (yield). We want to identify which variable has the greatest impact on agricultural yield and in what proportion.
We think ANOVA is the appropriate test for us, but we are not sure. Watch the video of the case
We would like to create a Python application that uses machine learning (ML) to predict a customer’s transportation expenses over the next 12 months.
The output should be the total shipping expense per month over the next 12 months.
Since some customers’ shipping is seasonal, the model should consider seasonality.
We are looking for an expert who can advise what is the best ML model to use in this case, to implement it.
The goal of this project is to implement several machine learning models in order to accurately predict short-term demands for inpatient beds and, as a result, assist in resource planning for hospitals.
We are tired of turnover (staff quitting, Ed.) in our department, and the department has asked us to investigate the reasons for turnover. I need your help to build an explicable decision tree model to predict instances of turnover.
We are looking for someone who can perform an empirical analysis using the gravitational model of trade. The analysis should examine the relationships between different variables such as countries, industries and social indicators.
If you find yourself in any of these cases, I can listen to your symptoms in a free introductory call of up to one hour.