checho.co
🎓 Anthropologist turned Data Scientist | Making data accessible for everyone | 10+ years in development M&E | 🇨🇴 | EN/ES | Writing about career change | Pythonista in training |
Find me @ www.checho.co
374 posts
121 followers
794 following
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10/ The path from service desk to strategic partner isn't easy, but it's worth it.
Both for your career and for the actual value you deliver to your organization.
#DataLeadership #FutureOfWork
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9/ Final thought: Your time and expertise are valuable. The moment you start treating them that way is the moment others will too.
#CareerGrowth #DataAnalyst
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8/ Remember: You're not being difficult by pushing back. You're being professional.
The best analysts aren't just good with data—they're good at shaping how their expertise is used.
#ProfessionalDevelopment
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7/ Pro tip: Start every project with a discovery session.
Make it clear that this is your standard process. It signals professionalism and prevents the "quick report" mentality.
#DataTeams
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6/ Key shift #3: Build relationships before reports.
Spend time understanding the business context. The best solutions often come from conversations, not requirements docs.
#DataCulture
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5/ Key shift #2: Position yourself as a consultant, not a service provider.
That means asking tough questions, challenging assumptions, and sometimes saying no.
#CareerAdvice #DataViz
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4/ Key shift #1: Stop accepting vague requests.
When someone asks for a dashboard, respond with "What decision are you trying to make?" Not "When do you need it?"
#DataLeadership
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3/ Reality check: Your value isn't in churning out reports.
It's in your ability to understand business problems and translate them into data-driven solutions.
#DataStrategy #DataDriven
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2/ The problem: Most business teams see data analysts as order-takers.
"I need this dashboard by Friday" sound familiar?
This creates a cycle of rushed work, missed opportunities, and frustrated analysts.
#BusinessIntelligence
#DataScience
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6/6 Remember kids, the real superpower isn't invisibility—it's knowing that your SSN's area number + issue date + credit history = perfect formula for mayhem.
Now, back to my evil predictive models. 🦹♂️
#VillainLife #EvilAI
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5/6 My evil algorithm shows that people who make large purchases at 2 AM have weaker password habits.
It's like you're ASKING to be part of my villainous database.
#EvilDataScience #CyberVillain
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4/6 Bank transaction patterns are better than Netflix.
That sudden spike in luxury purchases right after a divorce settlement hits?
Time to serve up some "investment opportunity" ads.
#ScamLife #VillainBusiness
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3/6 Cross-referencing credit histories with social media is my evil hobby.
When someone posts "Starting my business journey!" while their credit report shows 5 maxed cards, my scam targeting gets... precise.
#EvilMarketing #DataCrime
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2/6 The group numbers (digits 4-5) are like an evil timestamp.
They tell me roughly WHEN your SSN was issued. Combine that with credit history and... chef's kiss perfect targeting.
#EvilAnalytics #VillainousHacks
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7/7 Quick tips:
• Use f-strings for readability
• .format() for dynamic templates
• %-formatting for legacy code
• All tools have their place
Choose the right tool for your task.
Welcome to modern Python! 🐍
#PythonTips #CodeNewbie
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6/7 Dealing with special characters:
Quotes inside quotes
f'He said "Hello"' # Works
f"She said 'Hi'" # Also works
Need curly braces?
f"A curly brace: {{" # Shows: A curly brace: {
#Python
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5/7 Debug like a pro (Python 3.8+):
x = 42
y = "hello"
f"{x=}, {y=}" # x=42, y='hello'
It's like print() but smarter. Your debugging sessions just got an upgrade.
#PythonTips
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4/7 F-strings are tiny powerhouses:
name = "python"
f"{name.title()}" # Python
f"{len(name)}" # 6
f"{name[:2].upper()}" # PY
They run code right inside your strings!
#LearnPython
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3/7 F-strings handle numbers beautifully:
price = 10.99
f"${price:.2f}" # $10.99
f"{price:>10}" # Right align
f"{price:,.2f}" # Add commas
Format with style, no calculator needed.
#PythonTips
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2/7 String formatting evolution:
name = "John"
print("Hello %s" % name) # 1989 called
print("Hello {}".format(name)) # Old but reliable
print(f"Hello {name}") # Modern elegance
Each prints "Hello John" but f-strings are clearer.
#Python