umarulaiman

Ingénieur de jour, capitaliste nocturne

[kanav @kanavtwt]

Day 1 of vibecoding

[Movez @0xMovez]

Microsoft Senior AI developer just showed how they build AI agents with Claude at Microsoft.

34-minutes. free. By Microsoft team

Opus 4.7 + 1,400+ pre-built MCP tools

plug Claude into agent → give it tools → ship to production

worth more than any $500 vibe-coding course.

[Joruno @wsl8297]

给大家安利一本开源、免费、可在线运行的 Python 地理空间编程书：《GIS 编程入门》。

从 Python 基础一路到进阶地理空间数据分析，学习路径清晰完整；配套大量可直接动手的代码示例，边学边跑、上手更快。

GitHub：https://t.co/bS8raiIKBc

文档：https://t.co/GpsgkTu9ul

书籍提供 8 种语言版本（含中文、英文、日文、韩文等），覆盖更广、更新更方便。

适合想系统入门地理空间编程的初学者，学完还可申请课程认证证书。

[umarulaiman @UmarulAimann]

Rented ✅

[umarulaiman @UmarulAimann]

House for rent @ M Arisa Kuala Lumpur

Premium 1LVR 1BR 1BHR M Arisa | 39th Floor (Nice View) | WiFi | Parking | Shuttle to LRT | King Bed | WFH/Gaming Setup | Projector Bedroom | Iced Water Dispenser | Air Conditioner | Water Heater Bathroom | 62" 4K LED TV |

pm @ [phone]

[umarulaiman @UmarulAimann]

Booked ✅

[umarulaiman @UmarulAimann]

House for rent @ M Arisa Kuala Lumpur

Premium 1LVR 1BR 1BHR M Arisa | 39th Floor (Nice View) | WiFi | Parking | Shuttle to LRT | King Bed | WFH/Gaming Setup | Projector Bedroom | Iced Water Dispenser | Air Conditioner | Water Heater Bathroom | 62" 4K LED TV |

pm @ [phone]

[umarulaiman @UmarulAimann]

Can contact me or pm @ [phone]

[Nte Daniel || Data Analyst → Engineer @iam_daniiell]

𝗦𝗼𝗺𝗲𝗼𝗻𝗲 𝗴𝗮𝘃𝗲 𝗺𝗲 𝘁𝘄𝗼 𝗖𝗦𝗩 𝗳𝗶𝗹𝗲𝘀 𝗮𝗻𝗱 𝘀𝗮𝗶𝗱 “𝗯𝘂𝗶𝗹𝗱 𝗺𝗲 𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲.”

“Two sources. Website and mobile app. Should be straightforward.”

Sure. No problem.

(It was absolutely not straightforward.)

𝗙𝗶𝗿𝘀𝘁 𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗲: 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮.

Before I wrote a single transformation:

→ Currency symbols corrupted at byte level
→ 23 different names for 6 product categories
→ Dates stored in 4 different formats across both files

→ Mobile app hiding promo discounts inside gross totals with no separate column

The data had been “working” for two years.

𝗟𝗲𝘀𝘀𝗼𝗻 𝗼𝗻𝗲: 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝗻𝗱 𝗰𝗹𝗲𝗮𝗻 𝗮𝗿𝗲 𝗻𝗼𝘁 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝘁𝗵𝗶𝗻𝗴.

So I built a proper pipeline:

→ Bronze — raw ingestion, nothing touched, every column NVARCHAR

→ Silver — cleaned, typed, deduplicated, standardised

→ Gold — star schema, surrogate keys, USD conversion, analytical flags

76,685 order lines. Two messy sources. One unified fact table.

𝗧𝗵𝗲𝗻 𝘁𝗵𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀.

→ RFM segmentation — 22,000+ customers scored and labelled

→ Market basket — what website customers actually buy together

→ Promo effectiveness — the discounts weren’t moving AOV. At all.

→ $500K ad spend recommendation — every dollar backed by two years of revenue data

𝗙𝗶𝗻𝗮𝗹 𝗻𝘂𝗺𝗯𝗲𝗿𝘀:

✅ $9.48M revenue modelled

✅ 7 dimension tables, 1 fact table

✅ 4 analytical deliverables

✅ Full Analytical Engineering project

The warehouse wasn’t the hard part. Trusting the data enough to build on it was.

Full documentation and code:

https://t.co/1H9liLtEm2

#DataEngineering #SQL #DataWarehouse #DataAnalytics #Datafam

[andrés @andresmiguer]

you're still young and there's still more to life. don't let bad experiences turn your heart cold

[le.hl @0xleegenz]

You're just one accident, one diagnosis, one unexpected phone call away from a completely different life

So stay humble and never take anything for grant

[Digi @digiii]

There is so much power in believing things will work out even if you don't know how or when.

[mitsuri @0xmitsurii]

Steve Jobs talking about hiring professional management- it didn't work at all.

[Reads with Ravi @readswithravi]

“Confidence comes from preparation.”

— Kobe Bryant

[Shubham @aShubhamz]

2020 : All I need to learn is HTML, CSS and Javascript and get a good job. Tech is the future.

2026: