Simret.exe
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It’s just a chill space where I share my dev moments, ML/backend projects, and things I learn along the way. I started this to stay committed and grow with others. If you vibe with that, open your laptop and let’s figure out tech together πŸ’»πŸ§šβ€β™€οΈ
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πŸ”₯πŸ”₯Project update on Day 5

Today’s work is one of the most overwhelming 🀧🀧🀧 It is like you are seeing the error but you stack where to fix it.

To explain a little bit Dagster is like When you want to move data from one place to another (like scraping data from Telegram and cleaning it), you have multiple steps. Dagster makes sure these steps happen in the exact right order.

It lets you build a clear, step by step map of your data journey. If step 1 (like downloading data) fails, Dagster stops and warns you before step 2 breaks.I know the idea is kind of cool 😁

The one key concept I learned is that when you try to learn smt new it isn't by building smt and watching endless tutorial video's. It is by fixing and debugging again on those errors to learn better.

#DAY5 #simrichallenges🀝🀝🀝🀝
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Good Night πŸŒ™
Rest well, sleep peacefully, and wake up ready for a better day.
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Good morning everyone 🀝🫑
Have a Productive Tuesday 🫑🫑

Let us continue what we begin πŸ†
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Forwarded from Software Guy
You'll ghost your own goals but get offended when someone doesn't text you back.

Made a promise to yourself last week and already forgot about it, but when someone else breaks their word to you, suddenly that's disrespect.

The double standard is wild. You demand from others what you won't even give yourself, then wonder why self-respect is missing.
Media is too big
VIEW IN TELEGRAM
Let us make our day with phevi☺️☺️ thoughts and ideas ✨

True growth starts when we choose to listen to comprehend, not just to reply. It means seeing people as individuals and valuing human potential rather than judging them in a crowd.

If you can't find the depth, warmth, or integrity you seek in the world... be that world yourself😌☺️☺️

#simruthoughtsβ˜€οΈ
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Forwarded from BΟ…ΙΎΤ‹Ξ±Ι³-Ops (BΟ…ΙΎΤ‹Ξ±Ι³ | Ψ¨Ψ±Ω‡Ψ§Ω† :))
If they don't invite you to the table, create one for yourself ;)
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πŸ”₯ Let's call today's post "From Red to Green" 😁🫑

In yesterday's Day 5 post, I got stuck with an error where Telethon was running inside Dagster, causing session file conflicts that crashed the pipeline.

After many hours of debugging, I finally solved all the issues, and the pipeline is now running successfully, as you can see in the images. That's what happens when consistency pays off. It was really overwhelming, but sometimes all you need is a short break before the solution becomes clear. 😁😁

And finally, this week's project has come to an end. All that's left now is the report and presentation. 🀝🀝

#Day6
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If you noticed, 2026 backwards is 6202 and if you take away 6 and 2, you will have 02.
It doesn't mean anything but Thanks for reading.πŸ˜‚πŸ˜‚πŸ˜‚

Good night 😴 πŸ₯± Don't foregt to have a rest🀝πŸ’ͺ
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Good morning everyone ☺️☺️
It is the 3rd day of the weekπŸ€”
Have a productive DayπŸ†πŸ’ͺ
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Finally the final day comes πŸ˜πŸ™Œ

Writing a report is actually the most overwhelming .As I said in past week it helps me to exercise how can I express my technical work to non technical teams in plain english .

I don't know how the week move fastπŸƒπŸ½β€β™€οΈ like this πŸ€¦πŸ½β€β™€οΈI built a full end-to-end data engineering pipeline scraping Telegram channels, building a data warehouse with dbt, detecting objects in images with YOLO, exposing insights through a FastAPI, and orchestrating everything with Dagster. All in one week. 🀌🏾

At the start, words like "star schema", and "Dagster" felt like a foreign language. The debugging sessions were real. πŸ™ƒπŸ™ƒ But every error was a lesson and every fix made the system stronger.

Just start, stay consistent, and keep building. πŸ’ͺ🏾

#DAY7
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Forwarded from BΟ…ΙΎΤ‹Ξ±Ι³-Ops (BΟ…ΙΎΤ‹Ξ±Ι³ | Ψ¨Ψ±Ω‡Ψ§Ω† :))
you could truly learn anything and that’s the beauty of it!
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Never undervalue the blessing that God has given us health and air to breathe!
Always be grateful.β˜ΊοΈπŸ™πŸΎ

#simruthoughts🌟
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I honestly couldn't have imagined reaching this level when I first started. Back then, I told myself, "Let’s just start and see what happens."🌟🌟

Seeing our hub like this ☺️makes it all feel real. It's happening, and there is so much more growth and learning to come! πŸš€

Huge shoutout and credits to @atocodes for pointing this out and showing me how much progress I've actually made. Thank you! πŸ™Œ
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πŸŒ—July 1 is a reminder that we've made it halfway πŸ’ͺ✨ through 2026/2018 E.C .and we still should keep going . May the rest of the month of this year be soft, kind and everything we've hoped for!!!πŸ™βœ¨

😴Goodnight everyone! Don't forget to rest and drink water
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Good morning my habesha ppl β˜€οΈπŸ˜β˜ΊοΈ
Have a nice Thursday 🌟
And let's get back to work🀝🀝
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Forwarded from AAU NEWS
πŸ“’ Training Update: Registration is Still Open!

Due to a schedule update, our FREE 3-Day Online Training on Data Analytics & Visualization Using Python will now take place on July 6–8, 2026.

If you’re looking to build practical skills in data analysis, data cleaning, and data visualization using Python, this training is for you!

πŸ“… July 6 – 8, 2026
🌐 Online | English
πŸŽ“ Certificate upon successful completion
βœ… 100% attendance required

The training is open to anyone committed to learning. All you need is a laptop, a stable internet connection, and the dedication to participate throughout the program.

πŸš€ Registration is still openβ€”don’t miss your chance to join!

πŸ”— Register here: https://forms.gle/9mH1jg5AjRXwLXwh7
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⚑️πŸ’₯This week I will work on a Time Series Forecasting for Portfolio Management project for some Investments! I'll use historical financial data (Tesla, Bonds, and S&P 500) to predict market trends and help optimize an investment portfolio.

Who is this for?
πŸ“Š Financial analysts and investors who want data-driven insights instead of guesswork when building a portfolio.

The system will answer real questions like:
πŸ“ˆ What are the future market trends?
βš–οΈ How do we balance high risk (Tesla) vs stability (Bonds) vs diversification (S&P 500)?
πŸ’Ή What's the optimal investment mix for the best return with the least risk?
πŸ” Would this strategy have actually worked if tested on past data?

I will learn ARIMA/SARIMA models, LSTM (deep learning for forecasting), Modern Portfolio Theory, and backtesting strategies using Python.

I will start working on this today updates coming soon! πŸš€
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