Viewed 866 times | Published on 2020-08-21 17:00:00
Most recent update: 2021-04-13
|click here to download CVs and profiling documents, or see a sample companies list 1986-2020|
Recent activities (January 2020 - February 2021)
|During the lock-down (March - June 2020) continued pivoting toward data-centric on two lines, to leverage on my past experiences|
|_Line 1: business Updating cultural/organizational change activities, but focusing more on the controlling/governance side|
|_Line 2: technical Updating number crunching skills for decision support, but focusing on adding machine learning coordination/analysis skills|
|_Considering the potential long-term business and organizational impacts of COVID-19, followed training from Johns Hopkins and Imperial College on Coursera|
|_Hands-on training on Machine Learning using Kaggle/Google resources and offline training material (Python, and updating prior R EDA skills to ML)|
|_Released on 2020-12-17 the first book of the CitizenAudit series (on Amazon.com and Leanpub.com, sample chapter on Italian NextGenerationEU on Issuu.com)|
|_Released on 2021-01-05 Jupyter Notebook on Kaggle reviewing a survey and on 2021-01-29 the free version of the associated book AI organizational scalability|
|_Articles on this website (see here for the 20 most recent)|
|_Released webapps on analysis of a post-COVID Government Decree and ensuing Law with a spending plan and structural changes whose impact will extend well beyond 2020|
|_Released datasets on Kaggle (with either R or Python summary), in preparation of further publications and webapps containing Exploratory Data Analysis and applying Machine Learning concepts to open data (most recent update first):|
PS for the webapp ECBSpeeches, the update is on a weekly basis, each Monday (released Sunday evening), while the Kaggle dataset is updated quarterly; for the other webapps, both the webapp and the dataset are updated at the same time
Data analysis example
Along with datasets, I released also Jupyter Notebooks, as experiments in reproducing what I used to deliver in the past to customers as part of e.g. organizational or technological feasibility studies.
Each dataset on my Kaggle profile has also an associated Jupyter Notebook, to share my work-in-progress on each dataset.
In January 2021, as a further experiment, for a "challenge" on data analysis, built both a Jupyter Notebook, some reusable software components (to ease reproducibility of future analyses, creating also picture files and an "audit trail" of the output of data processing).
In the end, added also a book (the free version can be read via the links on its Leanpub.com page).
Thanks to the recent release of a new feature by Kaggle, you can also read the Jupyter Notebook embedded in the following box:
Social media presence