Taha Öztürk
@tahaozturk.bsky.social
Associate Data Engineer || AI Enthusiast || Science & Engineering Lover
|| Ex Mechanical Engineer
|| Ex Mechanical Engineer
Pinned
Taha Öztürk
@tahaozturk.bsky.social
· Feb 19
Who Does What in Data? A Clear Guide 🧵
1️⃣ The data world has many roles, but what’s the difference between a Data Analyst, Data Engineer, Data Scientist, and ML Engineer? 🤔
Each has a unique job, and they work together to turn raw data into real business impact. Let’s break it down!⬇️
1️⃣ The data world has many roles, but what’s the difference between a Data Analyst, Data Engineer, Data Scientist, and ML Engineer? 🤔
Each has a unique job, and they work together to turn raw data into real business impact. Let’s break it down!⬇️
🧵 Thread 2: Cybersecurity Risks Hiding in Plain Sight
In the last thread, we explored major threats like ransomware and DDoS attacks. Now, let’s uncover three sneaky security gaps cybercriminals exploit:
In the last thread, we explored major threats like ransomware and DDoS attacks. Now, let’s uncover three sneaky security gaps cybercriminals exploit:
March 11, 2025 at 8:49 AM
🧵 Thread 2: Cybersecurity Risks Hiding in Plain Sight
In the last thread, we explored major threats like ransomware and DDoS attacks. Now, let’s uncover three sneaky security gaps cybercriminals exploit:
In the last thread, we explored major threats like ransomware and DDoS attacks. Now, let’s uncover three sneaky security gaps cybercriminals exploit:
🧵 Thread 1: Cybersecurity Essentials for Companies
Imagine your company's digital security like leaving your house wide open—doors and windows included. Terrifying, right? 😱 Let's dive into three key cyber threats you MUST know:
Imagine your company's digital security like leaving your house wide open—doors and windows included. Terrifying, right? 😱 Let's dive into three key cyber threats you MUST know:
March 6, 2025 at 8:19 AM
🧵 Thread 1: Cybersecurity Essentials for Companies
Imagine your company's digital security like leaving your house wide open—doors and windows included. Terrifying, right? 😱 Let's dive into three key cyber threats you MUST know:
Imagine your company's digital security like leaving your house wide open—doors and windows included. Terrifying, right? 😱 Let's dive into three key cyber threats you MUST know:
🚀 What is RAG (Retrieval-Augmented Generation)?
LLMs are smart, but they have a big flaw: they don’t know things beyond their training data.
RAG fixes this by letting models retrieve external info before generating responses, making them more accurate, up-to-date, and reliable. 🧠🔍
LLMs are smart, but they have a big flaw: they don’t know things beyond their training data.
RAG fixes this by letting models retrieve external info before generating responses, making them more accurate, up-to-date, and reliable. 🧠🔍
February 25, 2025 at 8:49 AM
🚀 What is RAG (Retrieval-Augmented Generation)?
LLMs are smart, but they have a big flaw: they don’t know things beyond their training data.
RAG fixes this by letting models retrieve external info before generating responses, making them more accurate, up-to-date, and reliable. 🧠🔍
LLMs are smart, but they have a big flaw: they don’t know things beyond their training data.
RAG fixes this by letting models retrieve external info before generating responses, making them more accurate, up-to-date, and reliable. 🧠🔍
Who Does What in Data? A Clear Guide 🧵
1️⃣ The data world has many roles, but what’s the difference between a Data Analyst, Data Engineer, Data Scientist, and ML Engineer? 🤔
Each has a unique job, and they work together to turn raw data into real business impact. Let’s break it down!⬇️
1️⃣ The data world has many roles, but what’s the difference between a Data Analyst, Data Engineer, Data Scientist, and ML Engineer? 🤔
Each has a unique job, and they work together to turn raw data into real business impact. Let’s break it down!⬇️
February 19, 2025 at 8:49 AM
Who Does What in Data? A Clear Guide 🧵
1️⃣ The data world has many roles, but what’s the difference between a Data Analyst, Data Engineer, Data Scientist, and ML Engineer? 🤔
Each has a unique job, and they work together to turn raw data into real business impact. Let’s break it down!⬇️
1️⃣ The data world has many roles, but what’s the difference between a Data Analyst, Data Engineer, Data Scientist, and ML Engineer? 🤔
Each has a unique job, and they work together to turn raw data into real business impact. Let’s break it down!⬇️
AI Agents: The next evolution of AI. 🤖✨
You’ve probably seen posts about them, but what exactly do they do? Here’s a quick, no-hype breakdown so you can understand & even build one yourself. 🧵👇
You’ve probably seen posts about them, but what exactly do they do? Here’s a quick, no-hype breakdown so you can understand & even build one yourself. 🧵👇
February 14, 2025 at 8:13 PM
AI Agents: The next evolution of AI. 🤖✨
You’ve probably seen posts about them, but what exactly do they do? Here’s a quick, no-hype breakdown so you can understand & even build one yourself. 🧵👇
You’ve probably seen posts about them, but what exactly do they do? Here’s a quick, no-hype breakdown so you can understand & even build one yourself. 🧵👇
What is Cross-Validation?
Cross-Validation: When your model double-checks itself before it wrecks itself. ✅🔄
#MachineLearning
Cross-Validation: When your model double-checks itself before it wrecks itself. ✅🔄
#MachineLearning
January 25, 2025 at 1:30 PM
What is Cross-Validation?
Cross-Validation: When your model double-checks itself before it wrecks itself. ✅🔄
#MachineLearning
Cross-Validation: When your model double-checks itself before it wrecks itself. ✅🔄
#MachineLearning
What is ETL?
ETL: The magic spell that turns raw data into something useful—Extract, Transform, Load… and repeat. 🔄✨
#DataEngineering
ETL: The magic spell that turns raw data into something useful—Extract, Transform, Load… and repeat. 🔄✨
#DataEngineering
January 23, 2025 at 10:05 AM
What is ETL?
ETL: The magic spell that turns raw data into something useful—Extract, Transform, Load… and repeat. 🔄✨
#DataEngineering
ETL: The magic spell that turns raw data into something useful—Extract, Transform, Load… and repeat. 🔄✨
#DataEngineering
What is the Curse of Dimensionality?
Curse of Dimensionality: When your data has so many features, even your model gets lost. It's like finding a needle in a space-time haystack. 🧵📏
#AI
Curse of Dimensionality: When your data has so many features, even your model gets lost. It's like finding a needle in a space-time haystack. 🧵📏
#AI
January 21, 2025 at 9:30 AM
What is the Curse of Dimensionality?
Curse of Dimensionality: When your data has so many features, even your model gets lost. It's like finding a needle in a space-time haystack. 🧵📏
#AI
Curse of Dimensionality: When your data has so many features, even your model gets lost. It's like finding a needle in a space-time haystack. 🧵📏
#AI
What is Overfitting?
Overfitting: When your model is so good at training data, it starts writing love letters to it—but forgets the real world exists. 💌📉
#MachineLearning
Overfitting: When your model is so good at training data, it starts writing love letters to it—but forgets the real world exists. 💌📉
#MachineLearning
January 19, 2025 at 11:15 AM
What is Overfitting?
Overfitting: When your model is so good at training data, it starts writing love letters to it—but forgets the real world exists. 💌📉
#MachineLearning
Overfitting: When your model is so good at training data, it starts writing love letters to it—but forgets the real world exists. 💌📉
#MachineLearning
What is a Confusion Matrix?"
Confusion Matrix: Where AI admits its mistakes. It's like grading your model's performance on 'who it confused with whom.' 🤷♂️
#AI
Confusion Matrix: Where AI admits its mistakes. It's like grading your model's performance on 'who it confused with whom.' 🤷♂️
#AI
January 9, 2025 at 8:49 AM
What is a Confusion Matrix?"
Confusion Matrix: Where AI admits its mistakes. It's like grading your model's performance on 'who it confused with whom.' 🤷♂️
#AI
Confusion Matrix: Where AI admits its mistakes. It's like grading your model's performance on 'who it confused with whom.' 🤷♂️
#AI
What is Imbalanced Data?
Imbalanced data: 99 happy customers and 1 angry one in your dataset. Your model learns to ignore the anger—and that’s a problem. 😬
#DataScience
Imbalanced data: 99 happy customers and 1 angry one in your dataset. Your model learns to ignore the anger—and that’s a problem. 😬
#DataScience
January 6, 2025 at 8:49 AM
What is Imbalanced Data?
Imbalanced data: 99 happy customers and 1 angry one in your dataset. Your model learns to ignore the anger—and that’s a problem. 😬
#DataScience
Imbalanced data: 99 happy customers and 1 angry one in your dataset. Your model learns to ignore the anger—and that’s a problem. 😬
#DataScience
What is Cloud Computing?
Cloud computing is renting someone else’s supercomputer instead of buying one. Plus, it’s great for scaling up or down as needed. ☁️💻
#DataEngineering
Cloud computing is renting someone else’s supercomputer instead of buying one. Plus, it’s great for scaling up or down as needed. ☁️💻
#DataEngineering
January 3, 2025 at 8:49 AM
What is Cloud Computing?
Cloud computing is renting someone else’s supercomputer instead of buying one. Plus, it’s great for scaling up or down as needed. ☁️💻
#DataEngineering
Cloud computing is renting someone else’s supercomputer instead of buying one. Plus, it’s great for scaling up or down as needed. ☁️💻
#DataEngineering
What is a Data Lake?
A Data Lake is like your junk drawer at home: everything goes in—structured, unstructured, labeled, or not—and you hope to find what you need later! 🗄️
#DataEngineering
A Data Lake is like your junk drawer at home: everything goes in—structured, unstructured, labeled, or not—and you hope to find what you need later! 🗄️
#DataEngineering
December 31, 2024 at 8:49 AM
What is a Data Lake?
A Data Lake is like your junk drawer at home: everything goes in—structured, unstructured, labeled, or not—and you hope to find what you need later! 🗄️
#DataEngineering
A Data Lake is like your junk drawer at home: everything goes in—structured, unstructured, labeled, or not—and you hope to find what you need later! 🗄️
#DataEngineering
What is a Pipeline?
Pipeline: The conveyor belt of data engineering. From raw to refined, one step at a time! 🏗️
#DataEngineering
Pipeline: The conveyor belt of data engineering. From raw to refined, one step at a time! 🏗️
#DataEngineering
December 28, 2024 at 3:19 PM
What is a Pipeline?
Pipeline: The conveyor belt of data engineering. From raw to refined, one step at a time! 🏗️
#DataEngineering
Pipeline: The conveyor belt of data engineering. From raw to refined, one step at a time! 🏗️
#DataEngineering
What is a Feature in ML?
Features in ML are like ingredients in a recipe. The better the ingredients, the tastier the prediction! 🍲
#MLBasics
Features in ML are like ingredients in a recipe. The better the ingredients, the tastier the prediction! 🍲
#MLBasics
December 26, 2024 at 8:49 AM
What is a Feature in ML?
Features in ML are like ingredients in a recipe. The better the ingredients, the tastier the prediction! 🍲
#MLBasics
Features in ML are like ingredients in a recipe. The better the ingredients, the tastier the prediction! 🍲
#MLBasics
What is a Null Value?
Null: The 'I don’t know' of the data world. It’s not zero, not empty—just... nothing. NULL ≠ 0 ≠ ''
#DataEngineering #DataScience
Null: The 'I don’t know' of the data world. It’s not zero, not empty—just... nothing. NULL ≠ 0 ≠ ''
#DataEngineering #DataScience
December 21, 2024 at 11:51 AM
What is a Null Value?
Null: The 'I don’t know' of the data world. It’s not zero, not empty—just... nothing. NULL ≠ 0 ≠ ''
#DataEngineering #DataScience
Null: The 'I don’t know' of the data world. It’s not zero, not empty—just... nothing. NULL ≠ 0 ≠ ''
#DataEngineering #DataScience
🌟 Hello Bluesky! 🌟
Excited to share my love for data, data engineering, data science, and AI! 🚀
Expect simple tips, fun insights, and discussions to make data more accessible and exciting. Let’s learn and grow together!
#DataScience #DataEngineering #AI #HelloBluesky
Excited to share my love for data, data engineering, data science, and AI! 🚀
Expect simple tips, fun insights, and discussions to make data more accessible and exciting. Let’s learn and grow together!
#DataScience #DataEngineering #AI #HelloBluesky
December 21, 2024 at 11:44 AM
🌟 Hello Bluesky! 🌟
Excited to share my love for data, data engineering, data science, and AI! 🚀
Expect simple tips, fun insights, and discussions to make data more accessible and exciting. Let’s learn and grow together!
#DataScience #DataEngineering #AI #HelloBluesky
Excited to share my love for data, data engineering, data science, and AI! 🚀
Expect simple tips, fun insights, and discussions to make data more accessible and exciting. Let’s learn and grow together!
#DataScience #DataEngineering #AI #HelloBluesky