Name: J. Di Giacomantonio
Type: User
Company: Politecnico di Torino
Bio: #Pythonista #solarizedthemes #build
Industrial management engineering graduate || MSc Student at PoliTO || Actually delivering text analysis within Flask apps
Twitter: JacopoDiG
Location: Turin
Blog: https://www.linkedin.com/in/jacopodigiacomantonio/
J. Di Giacomantonio's Projects
Create, Mantain and Analyse a local MySQL db collecting Monte dei Paschi di Siena personal bank account transactions.
This repo encapsulates a Python implementation of the Simulated Annealing Algorithm to solve by means of a "minimum energy state" heuristic the NP-hard n-machines|no preemption|C_max job shop scheduling problem, considering n=2 machines and jobs having release dates. The code was designed and wrote by me. The whole heuristic design, complexity analysis, optimization, and ideas were made possible by team-working with Arianna Montironi and Chiara Panetta. The developed heuristic is the final deliverable of our project work held during the Quantitative Methods for Decision Aid 2021 Class in Politecnico di Torino.
Development of a web application based on Flask whose intention is to facilitate the owners of local pubs in satisfying the need of local sports fans to watch a specific sports game on live TV streaming.
A collection of automatable helping procedures for deploying a better House-of-Quality analysis. Those are considered as a further application of the topics covered during the "Quality Engineering" class I attended at Polytechnic of Turin.
This repo groups the simple python code I wrote and used to compete during the 2021 Reply Sustainable Investments Challenge. For the record, in the end I ranked #1253 out of 8000 participants, due to the extremely volatile market conditions of these years and the zero "gut-feeling" experience I had. To reduce the pain, I prefer to only think that T-1 days before the challenge due date I scored #325. 😃
We plan to query the Twitter API against a given hashtag to extract a tweet mass on which to perform a sentiment analysis to evaluate people believes about said topic/word.
This repo encapsulate a simple python procedure used for handling repetitive tasks during my Part-time Teaching Collaboration at Politecnico di Torino, winter 2020. I performed an indexing task of all gathered literature' paper material by Prof. A. Carpinteri during his carrer and now made available to students of Civil Engineering currently working on material fracture mechanics. The procedure allows compatibility of an Excel data-sheet, where data were manually stored, with the requested and all-precisely-formatted-as-requested Word document. In turn, this shall work as the index catalog of contents of the Laboratory of Fracture library here at Politecnico.