Whether it’s in R&D, supply chain, quality assurance, production, maintenance, or marketing, no one can avoid the use of data today. It could allow you to make savings, to secure your processes, to optimize your lead time or to reduce your defects and more!
As a Data Scientist, I am offering the following services to guide you in your projects !
Expertise fields
Data project launching : Build the team, gather the resources, evaluate the feasibility, define the schedule and target, choose the technologies. Every data project should be prepared with the appropriate precautions and difficulties should be anticipated in order to go one more step toward success.
Data retrieving: sensors, files, SQL database, API, machines,… The sources of data are very diverse and so are the way to retrieve data properly. During this phase, I’ll help you to identify the differences between data you may include in your project and propose a good way to extract meaningful information from it.
Data storage: Once you have sources of data, it’s often a good idea to save it in a unique system, such as an SQL database or a files system. Depending on the data type, we may have to choose between different solutions.
Data cleaning: Wrong or missing information in your database is your worst enemy. The entire project is based on your raw data, and mistakes will lead to wrong conclusions and decisions. During this step we will secure the reliability and consistency of your data.
Data analysis: Once the data is clean, we can dig a little bit more in it. What is the basic information that you can get from it? Using simple mathematicals tools and with the help of statistics and probabilities, we will be able to make our first conclusions about your data set : find links between variable, study about the variability of one parameters, and more…
Data visualization: Communication of your results is an important step during your data project. What are the most appropriate ways to communicate about one or more phenomena? Which tools should I use to build and share my charts or my dashboards?
Machine learning: If you would like to build more advanced and intelligent systems, we will use machine learning algorithms. Forecasting of an event, predictive maintenance, classifications, regressions, … such tasks can be accomplished with machine learning tools. I’ll help you to choose the right algorithm but also to evaluate and improve the performance of it.
Scripting / coding for data: R, Python, VBA. Most of the tasks listed before must be achieved with code. These are very powerful tools, and with a few basics you will completely change the way you manipulate data and will be able to create your own small scripts.
If you are about to or are hesitating to launch a data-driven project, I’ll be very happy to be part of your team. Please, do not hesitate to contact me, we can begin to discuss your ideas and find a way to tackle all your requests any time.
Would you like to know more about my competences? Please follow this link !
Nicolas