Everything comes down to data.

Hello, Welcome World! I'm Chim, but I go by CZ.

I'm an electronics engineer who fell for data. I started out around circuits and signals, and stayed because the best systems, programs, and even AI models are only as good as the data behind them.

I like the unglamorous middle of the process, where messy records become something people can trust and use. Along the way I learned that clean data is invisible when it works and painful when it doesn't, and that a repetitive task is usually just a script waiting to be written. I write those scripts in Python, SQL, and VBA, with AI as my pair programmer. I work under pressure, adapt fast, and don't get attached to a fixed workflow. I keep reading, trying things, and improving how I approach problems.

I'm 26.855349018 years old in real time, based in Cagayan de Oro City, Philippines, and a graduate of Xavier University - Ateneo de Cagayan in Electronics and Communications Engineering, which sits somewhere between computers, electronics, and signals.

why data

There is more of it every year, and the climb is steep. Estimates of the world's data went from exabytes in the 1980s to zettabytes today, and somebody has to make sense of it.

The world's data, 1968 to 2030 Estimates, log scale: each line is 10 times the one below.
  1. 1968–90 · ≈×97 Early computing ARPANET 1969 · Modern hard drive 1973 · IBM PC 1981
  2. 1991–2003 · ×15 The web World Wide Web 1991 · Google 1998 · Digital passes analog 2002
  3. 2004–09 · ×14 Social and smartphones Facebook 2004 · YouTube 2005 · AWS cloud 2006 · iPhone 2007
  4. 2010–19 · ×32 Mobile internet and cloud 4G networks 2010 · Instagram 2010 · Deep learning 2012 · 5G 2019
  5. 2020–30 · ≈×10 The AI era COVID-19 2020 · ChatGPT & LLMs 2022

Dashed: estimate or forecast

About these numbers

Estimates, not measurements: about 47,000-fold growth from 1986 to 2023.

  • Up to 2007: the world's capacity to store information, analog and digital (Hilbert and López, Science, 2011). Years between their figures are filled in.
  • From 2010: data created, captured, copied and consumed each year (Statista, based on IDC). It counts every copy and stream, so part of the 2007 to 2010 jump is a change in what is counted.
  • Dashed: before 1986, extended back at 20% a year. After 2023, Statista's forecast to 2028, then about 26% a year.
YearWorld dataEraKind of figure
1968≈98 PBEarly computingEstimate, extended back at 20% a year
1969≈120 PBEarly computingEstimate, extended back at 20% a year
1970≈140 PBEarly computingEstimate, extended back at 20% a year
1971≈170 PBEarly computingEstimate, extended back at 20% a year
1972≈200 PBEarly computingEstimate, extended back at 20% a year
1973≈240 PBEarly computingEstimate, extended back at 20% a year
1974≈290 PBEarly computingEstimate, extended back at 20% a year
1975≈350 PBEarly computingEstimate, extended back at 20% a year
1976≈420 PBEarly computingEstimate, extended back at 20% a year
1977≈500 PBEarly computingEstimate, extended back at 20% a year
1978≈600 PBEarly computingEstimate, extended back at 20% a year
1979≈730 PBEarly computingEstimate, extended back at 20% a year
1980≈870 PBEarly computingEstimate, extended back at 20% a year
1981≈1 EBEarly computingEstimate, extended back at 20% a year
1982≈1.3 EBEarly computingEstimate, extended back at 20% a year
1983≈1.5 EBEarly computingEstimate, extended back at 20% a year
1984≈1.8 EBEarly computingEstimate, extended back at 20% a year
1985≈2.2 EBEarly computingEstimate, extended back at 20% a year
19862.6 EBEarly computingStorage capacity, Hilbert and López
1987≈3.4 EBEarly computingFilled in between published figures
1988≈4.4 EBEarly computingFilled in between published figures
1989≈5.6 EBEarly computingFilled in between published figures
1990≈7.3 EBEarly computingFilled in between published figures
1991≈9.4 EBThe webFilled in between published figures
1992≈12 EBThe webFilled in between published figures
199316 EBThe webStorage capacity, Hilbert and López
1994≈19 EBThe webFilled in between published figures
1995≈23 EBThe webFilled in between published figures
1996≈27 EBThe webFilled in between published figures
1997≈32 EBThe webFilled in between published figures
1998≈38 EBThe webFilled in between published figures
1999≈46 EBThe webFilled in between published figures
200055 EBThe webStorage capacity, Hilbert and López
2001≈69 EBThe webFilled in between published figures
2002≈88 EBThe webFilled in between published figures
2003≈112 EBThe webFilled in between published figures
2004≈143 EBSocial and smartphonesFilled in between published figures
2005≈182 EBSocial and smartphonesFilled in between published figures
2006≈232 EBSocial and smartphonesFilled in between published figures
2007295 EBSocial and smartphonesStorage capacity, Hilbert and López
2008≈558 EBSocial and smartphonesFilled in between published figures
2009≈1.1 ZBSocial and smartphonesFilled in between published figures
20102 ZBMobile internet and cloudData created, Statista (IDC)
20115 ZBMobile internet and cloudData created, Statista (IDC), read from a chart
20126.5 ZBMobile internet and cloudData created, Statista (IDC)
20139 ZBMobile internet and cloudData created, Statista (IDC), read from a chart
201413 ZBMobile internet and cloudData created, Statista (IDC), read from a chart
201516 ZBMobile internet and cloudData created, Statista (IDC)
201618 ZBMobile internet and cloudData created, Statista (IDC), read from a chart
201726 ZBMobile internet and cloudData created, Statista (IDC), read from a chart
201833 ZBMobile internet and cloudData created, Statista (IDC)
201941 ZBMobile internet and cloudData created, Statista (IDC), read from a chart
202064 ZBThe AI eraData created, Statista (IDC)
202184 ZBThe AI eraData created, Statista (IDC)
2022101 ZBThe AI eraData created, Statista (IDC)
2023123 ZBThe AI eraData created, Statista (IDC)
2024149 ZBThe AI eraForecast, Statista (IDC)
2025182 ZBThe AI eraForecast, Statista (IDC)
2026221 ZBThe AI eraForecast, Statista (IDC)
2027291 ZBThe AI eraForecast, Statista (IDC)
2028394 ZBThe AI eraForecast, Statista (IDC)
2029≈496 ZBThe AI eraForecast, extended at 26% a year
2030≈626 ZBThe AI eraForecast, extended at 26% a year

tools I reach for

Languages

  • Python
  • SQL
  • VBA
  • Zoho Deluge

CRM & Email

  • Zoho CRM
  • Vtiger
  • Zoho Marketing Automation
  • Mailmeteor

Data & Reporting

  • Excel
  • Google Sheets
  • BigQuery
  • Zoho Analytics
  • Tableau
  • pandas
  • matplotlib

Lead Data

  • Lusha
  • Apollo
  • Clay
  • Pipileads
  • ZeroBounce

Web Analytics

  • Google Analytics 4
  • Google Tag Manager
  • Microsoft Clarity

AI & Workflow

  • Claude
  • Claude Code
  • Codex
  • ChatGPT
  • Gemini
  • VS Code
  • Git
  • GitHub

Logos are trademarks of their owners, shown only to identify tools I use. No sponsorship or endorsement is implied.

certifications

now

  • Going deeper on Python and SQL
  • Exploring applied machine learning and generative AI
  • Working toward data engineering
  • Building this site as my personal lab

outside the screen

I'm a gamer who goes for 100% completion in open-world games like Assassin's Creed and Far Cry. I also play Dota 2, League of Legends, and Valorant, and I've been a Pokémon fan for as long as I can remember.

about this site

Designed and coded by me, with help from AI, in VSCode and hosted on Vercel. It's still evolving, and I treat it like a lab for testing ideas.