Carlo Torniai carlotorniai

How to build high performing teams

A bit of history

In January 2019 I've been asked by a friend me some advice on how to build a high performing data science team. I wrote down some points which, from what I’ve seen in my own experience across several industries and decades are beyond the specific case and discipline. I then shared them on a Linkedin post. One of the comments from suggested to have a public gist to encourage collecting comments and addition to the intial list. So here it is.

Keybase proof

I hereby claim:

I am carlotorniai on github.
I am carlotorniai (https://keybase.io/carlotorniai) on keybase.
I have a public key whose fingerprint is 4798 9836 009B AB58 8CEB C1B7 F8C0 C2EF AFA6 6F1B

To claim this, I am signing this object:

	import json
	from flask import Flask, request, Response, redirect, url_for
	import pickle
	from nbpredictor import predict

	app = Flask(__name__)

	def readpickle(filename):
	''' Reads a pickle file and returns its content'''
	infile = open(filename, "rb")

	import json
	import pandas as pd
	import numpy as np
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn.naive_bayes import MultinomialNB
	import re
	from bs4 import BeautifulSoup
	import requests