Blockchain Data Analyst ll DeFi Researcher ll Creative Writer ll Member @womenindefi_org @AnalyticSages ll Let's explore the future of the internet together๐
๐ช๐ฒ๐ฒ๐ธ ๐ญ ๐ผ๐ณ ๐บ๐ ๐๐น๐ผ๐ฐ๐ธ๐ฐ๐ต๐ฎ๐ถ๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ท๐ผ๐๐ฟ๐ป๐ฒ๐ @AnalyticSages .
Before I started the class, I used blockchain every day as a user but have very little knowledge of how blockchain data actually works behind the scenes. This week gave me a solid foundation, and I thought to share some of my key takeaways.
One of the first concepts I learned was ๐๐ผ๐๐๐๐๐ . The easiest way I can explain is that ๐๐ผ๐๐๐๐๐ creates a unique digital fingerprint for data.This fingerprint helps ensure that information stored on a blockchain remains secure and tamper-proof.
I also learnt about ๐๐๐ฆ๐๐๐ก๐ ๐๐๐๐ข๐ฅ๐๐ง๐๐ . These are mathematical methods that takes data and convert it into a unique coded value called a ๐๐ผ๐๐. Example of an hash is 9e5c8f1a7d4b2c3f6e8a9b0d1f2e3c4a5b6d7e8f9a0b1c2d3e4f5a6b7c8d9e0. A tiny change in the original data creates a completely different hash. Another lesson that stood out to me was how blockchain data is stored. They are all stored in bits and bytes.
โขโ A bit is the smallest unit of digital data (0 or 1).
โขโ A byte is made up of 8 bits
Simply put: 1 Byte = 8 Bits.
One thing my instructor emphasized is that the job of a ๐ฝ๐ก๐ค๐๐ ๐๐๐๐๐ฃ ๐ฟ๐๐ฉ๐ ๐ผ๐ฃ๐๐ก๐ฎ๐จ๐ฉ is not just to look at ๐ฝ๐ก๐ค๐๐ ๐๐๐๐๐ฃ ๐ฟ๐๐ฉ๐,
the real job is to read the data, understand it, and extract meaningful insights from it. That perspective changed how I think about analytics.
Week 1 was all about building the right foundation. There's still a lot to learn, but I'm excited for the journey ahead and eager to uncover the stories hidden in blockchain data, one query at a time.
#BlockchainAnalytics #Web3 #LearningInPublic
Last year in September, in my quest to explore the future of the internet, I got accepted into the Women in DeFi Skill Up class @womenindefi_org to learn Advanced DeFi Research & Methodology. That experience completely changed the way I see Web3 and research in general.
Before the program, I honestly didnโt understand how deep DeFi research could get.
The training opened my eyes to the amount of patience, curiosity, and persistence needed to become a good DeFi researcher. Sometimes you spend hours digging before finding one useful insight.
During the training, we explored research tools like @CryptoRank_io
@DefiLiama @coingecko@CoinMarketCap . We also learned how to evaluate projects using different indicators to identify whether a project has strong fundamentals or possible red flags. One of the most unexpected parts of the training for me was degen trading and memecoins ๐.
I never saw myself as someone who would even try trading, but the sessions were so engaging that I became curious enough to test the waters. My first trade was honestly unforgettable, I turned $3 into $40 within a short time and felt like a genius for a moment ๐ญโฆbut I lost everything almost immediately because I didnโt have a proper exit strategy. That experience taught me an important lesson about risk management and emotional discipline.
We were also introduced to wallet tracking, blockchain explorers, and the basics of onchain analysis.
That was the turning point for me.
The more I learned about analyzing onchain activity, the more interested I became. While trying to learn onchain analysis more deeply, I came across @AnalyticSages .
A few weeks ago, I officially started my training in Blockchain Data Analysis, and it has been both challenging and exciting so far.
From writing SQL queries on @Dune https://t.co/mKxjyHfLri to understanding blockchain data structures, every day feels like learning a new language ๐
It hasnโt been easy, but I genuinely enjoy the process.
Iโm still very early in this journey, but Iโm excited about the possibilities ahead.
Iโll be sharing my learning process, challenges, wins, and lessons as I continue growing in Blockchain data analysis and Web3 research.
Last year in September, in my quest to explore the future of the internet, I got accepted into the Women in DeFi Skill Up class @womenindefi_org to learn Advanced DeFi Research & Methodology. That experience completely changed the way I see Web3 and research in general.
Before the program, I honestly didnโt understand how deep DeFi research could get.
The training opened my eyes to the amount of patience, curiosity, and persistence needed to become a good DeFi researcher. Sometimes you spend hours digging before finding one useful insight.
During the training, we explored research tools like @CryptoRank_io
@DefiLiama @coingecko@CoinMarketCap . We also learned how to evaluate projects using different indicators to identify whether a project has strong fundamentals or possible red flags. One of the most unexpected parts of the training for me was degen trading and memecoins ๐.
I never saw myself as someone who would even try trading, but the sessions were so engaging that I became curious enough to test the waters. My first trade was honestly unforgettable, I turned $3 into $40 within a short time and felt like a genius for a moment ๐ญโฆbut I lost everything almost immediately because I didnโt have a proper exit strategy. That experience taught me an important lesson about risk management and emotional discipline.
We were also introduced to wallet tracking, blockchain explorers, and the basics of onchain analysis.
That was the turning point for me.
The more I learned about analyzing onchain activity, the more interested I became. While trying to learn onchain analysis more deeply, I came across @AnalyticSages .
A few weeks ago, I officially started my training in Blockchain Data Analysis, and it has been both challenging and exciting so far.
From writing SQL queries on @Dune https://t.co/mKxjyHfLri to understanding blockchain data structures, every day feels like learning a new language ๐
It hasnโt been easy, but I genuinely enjoy the process.
Iโm still very early in this journey, but Iโm excited about the possibilities ahead.
Iโll be sharing my learning process, challenges, wins, and lessons as I continue growing in Blockchain data analysis and Web3 research.
Have you ever gone to a hospital and seen your entire medical history carried around in paper files?
As a nursing student, Iโve seen firsthand how fragmented healthcare records can delay care, affect privacy, and frustrate both patients and healthcare workers..
@LURbyLumera ๐งต