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FilippoPisello/README.md

Welcome!

I'm Filippo and I am a Data Analyst at Picnic technology. Take a look around to see what I am up to.

Who I am

  • Stereotype italian ๐Ÿ•
  • Python programmer ๐Ÿ
  • Wanna be clean coder ๐Ÿงน
  • YouTube intensive user ๐Ÿ“บ
  • Data geek ๐Ÿ“ˆ

Where to find me

I am very discountinuous in my use of social networks, but you can give it a try:

Medium

My work

Published Python packages

I have published a couple of Python packages mainly for the sake of learning how to do it. As you might have guessed, they did not exactly become trending. Here they are:

  • ๐Ÿ‘Œ EasyPred: easily store, investigate, assess and compare the predictions obtained through your Machine Learning models. Find the repo here!
  • ๐Ÿ—บ๏ธ SpreadPandas: get the dimensional mapping of a pandas data frame to a spreadsheet. Find the repo here!

What I tend to work on

This file tends to get old quite quickly, so make sure to actually check my commits if you want to know the truth.

Anyway, generally I code a lot for work, generally with the goal of automating repetitive actions:

  • ETL processes from/to Salesforce: I work in the commercial domain in Picnic technologies, and most of the stuff that concerns me happens in Salesforce. I have been developing a lot of chrono jobs that perform systematic changes/warning/reporting from and to Salesforce.
  • Slack warnings/logging: still connected to the above, various workflows that inform users of anomalies and/or changes made.
  • Moving data from X to Y: refresh that report, import that file, populate that table in the database. All stuff that often needs to run on a periodic basis.

What I might work on in the future

  • ๐Ÿ˜๏ธ My Properties Manager: webapp to keep an eye on rented properties, just for the sake of getting my hands dirty with web app designing.

Pinned Loading

  1. superscale superscale Public

    Python package to extract measurements information from strings

    Python 1

  2. easypred easypred Public

    Get insights over your prediction's accuracy regardless of how it was obtained

    Python

  3. first-matches-predictive-power first-matches-predictive-power Public

    How much do the first matches of a football championship tell about the final leaderboard? Answering this question through a simple historical analysis.

    Python

  4. spreadpandas spreadpandas Public

    Map pandas data frame to their spreadsheet space volume.

    Python