Sr. Data Analyst @ Crunchbase | Founder @ Big Data Energy⚡️ | LinkedIn [in]structor | Empowering career growth in data | Breaking industry stereotypes

💌 partnerships@bdeanalytics.com
Hi 👋🏼 I’m Jess Ramos, the founder of Big Data Energy ⚡️ and a content creator with a community of over 450,000 followers across LinkedIn, YouTube, Instagram, and Substack. I'm an ex-corporate data analyst and data scientist turned entrepreneur. 

I'm also a Top Voice on LinkedIn and one of the leading voices in B:B marketing in tech partnering with big brands like IBM, Claude, Lyft, and the NFL!

After spending years in high-growth tech startups, I realized my true passion is working for myself as a developer advocate striving towards making tech, data, and AI more accessible to all. Through my business, I offer brand partnerships in the form of social media content, conference attendance, and live events. I also teach SQL and data courses for current and aspiring analysts.  

Highlights:

- Creator of Big SQL EnergyⓇ ⚡️ (the world’s greatest SQL course!)
- Partnered with brands like IBM, AWS, NFL, Atlassian, Lyft, Claude, Notion, and Snowflake
- Advocate for making data careers more accessible & human in an AI-driven world

Brands: partnerships@bdeanalytics.com
🎥 Youtube: @JessRamosData
📸 Instagram: @jessramosdata
💌 Newsletter: https://jessramosdata.substack.com/
🤳🏼 TikTok: @jessramosdata

Jess Ramos, MSBA

Everyone thinks when they get a job in data it'll be the most sexiest job ever full of so many intellectual smart things... 

like coding all day, using AI, and being super techy. 

Basically saving the world one query at a time!

But the reality is that data analytics is still a business job because data analysts are parts of businesses and corporations. 

So much of the day revolves around communication, catering to stakeholders, and driving insights that point to higher-level goals and KPIs.

Things that will make the execs happy and look good in front of the board are ultimately the most important tasks-- not the research and exploring you're excited to do with all of your pent-up curiosity. 

If you don't advocate for those tasks and get buy-in from leadership, they're likely a no-go.

Sometimes, it can be draining, but it makes the quiet days where you can explore data and have fun so much more appreciated. 

Is being a data analyst what you expected or not?

Jess Ramos ⚡️

Tech, Data Science, & AI Content Creator w/ 450K+ followers | Developer Advocate & Solopreneur | LinkedIn Learning Instructor | Big Data Energy⚡️ | helping you leverage tech & AI

A popular (male) data influencer has been stealing content and ideas from me and Dawn Choo  

And I'm not very happy about it. 

They copied my LinkedIn cover photo many months ago stealing my original design of "select * from jess_ramos" pointing to my cover photo. 

I didn't say anything because it's the highest form of flattery and it's not worth my time.

But then a week ago, they copied Dawn's instagram video *word for word* stealing the exact concept, text, and script. 

I commented calling them out and they DMed me saying they "tagged Dawn in the comments giving her credit." 

When I said that still doesn't make it okay to copy people, they changed their whole story and said they "filmed it weeks before and Dawn coincidentally came up with the EXACT same idea” copying them.

And they sent a fool proof screenshot with a timestamp they edited in their phone LOL

How about we stop copying other creators and stealing ideas from women??

And even worse, lying about it?

People talk. Is that really how you want your reputation to be?

Tech, Data Science, & AI Content Creator w/ 450K+ followers | Developer Advocate | Big Data Energy⚡️ | Remote Work & Entrepreneurship

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You'll spend 80% of your time data cleaning.

So don't skip these lessons!

It's not as fun and pretty as AI & ML, but it's the bread and butter you need.

Save these functions for later:

↳ Replace(): replace values
↳ Cast(): change data types
↳ Coalesce(): return first non null value
↳ Ifnull(): replace nulls
↳ Concat(): combine string values

And save these videos to improve your skills:
Data Cleaning w/ SQL & AI: https://lnkd.in/enFBW4_5
Handling Nulls the RIGHT way: https://lnkd.in/ehaQky-Z
Recategorizing data w/ Case Statements: https://lnkd.in/eDPgdcWv

Data cleaning in SQL for data science and data analytics doesn’t have to be hard 🔥

What are your favorite functions for data cleaning??

♻️ repost for your network and save this for later!

Top 5 SQL Data Cleaning Functions

Learning how to set corporate boundaries professionally is truly an art. If you don't learn this... you'll likely be pushed around and taken advantage of. 

These are boundaries that I set for myself (and have accidentally broken in the past!):

1. Do not respond to any notifications or messages outside of your working hours. You never want to set the precedent and expectations that you will— because then if you ever don’t, your manager will feel let down and disappointed in you.

2. Overcommunicate and manage up. If your manager wants to be super hands on, keep them super updated with frequent status updates and decisions. That way they can weigh in if they want to and will build trust in you. And you can keep them from pestering you daily with updates.

3. Take time for yourself and enjoy your personal life (& PTO) GUILT FREE. Just because they have no hobbies doesn’t mean you can’t enjoy your life. You shouldn't feel guilty for using your benefits and not working past your contracted hours.

Have you had a manager like this? Are you healing from one like this?

Tech, Data Science, & AI Content Creator w/ 400K+ followers | Big Data Energy⚡️| Technical Educator | Remote Work & Entrepreneurship

Is data science still the sexiest job of the 21st century?

It’s changed a lot over the years: 

↳ 2012: DS was deemed as the sexiest job of the 21st century— and it was. It required a phd and deep statistical modeling knowledge resulting in very high salaries and demand.  

↳ 2021: This was the rise of bootcamps that over promised and underdelivered and the market became more saturated. However, tech companies were hiring so much, no one really noticed the oversaturation and many people broke in. 

↳ 2026: Hiring has slowed down greatly and so has the demand to become a data scientist. Everything has been in a lull feeling slow, and people are having to adapt their skills to include AI & agents to get jobs. 

The field isn’t dying, it’s just adapting and reshaping into new kinds of roles. 

Skills and tools are changing (as always), and you should only go into a data role if you actually enjoy it!

I think it’s worth it, what about you?

♻️ Repost for your network and 🏷️ save this for later!

Forging the Future of Lending & Business | AI & Tech Maverick | Fractional executive | Athena's Council | The Bold Leaders Collective | Board Member 📈 Author ✍🏼 Speaker 🗣️ Coach 💁🏼‍♀️

Most mortgage lenders are sitting on hundreds of hours in lost productivity - and they don’t even know it. And what happens next? Growth stalls. Teams burn out. Inefficiency takes over.If this sounds familiar, 𝐲𝐨𝐮'𝐫𝐞 𝐧𝐨𝐭 𝐚𝐥𝐨𝐧𝐞 - 𝐚𝐧𝐝 𝐲𝐨𝐮'𝐫𝐞 𝐧𝐨𝐭 𝐛𝐞𝐡𝐢𝐧𝐝.Most firms have the tech. What they don’t have is traction.67% of lenders are already using or investing in AI - but zero say their deployment is “mature.”Loan officers spend 60–70% of their time on admin - not originationMost lenders have 4–7 automation tools, but fewer than 30% of employees can name two𝐘𝐨𝐮'𝐫𝐞 𝐧𝐨𝐭 𝐟𝐚𝐢𝐥𝐢𝐧𝐠 𝐚𝐭 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧. 𝐘𝐨𝐮'𝐫𝐞 𝐟𝐚𝐢𝐥𝐢𝐧𝐠 𝐚𝐭 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 - 𝐚𝐧𝐝 𝐭𝐡𝐚𝐭'𝐬 𝐟𝐢𝐱𝐚𝐛𝐥𝐞!Here's what it may look like for you today:* Loan officers scramble to re-enter data into four systems - clicking, copying, and hoping it sticks* Your expensive CRM sits half-used while top producers vent about clunky interfaces and confusing menus* AI tools are ignored - "it gets tax returns wrong 20% of the time" becomes the common excuse* Ops teams sift through more loans than you care to admit, eyes aching, trying to catch what automation missedTalent leaves. Morale Tanks. Trust plummets.Not because you picked the wrong tools, 𝐛𝐮𝐭 𝐛𝐞𝐜𝐚𝐮𝐬𝐞:* Change is treated like a feature, not a process* Implementation ends at go-live* Adoption isn’t owned and nurtured* Measurement is murky* Culture gets skipped𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐟𝐚𝐢𝐥 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦. 𝐘𝐨𝐮𝐫 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐝𝐨𝐞𝐬.The good news? You don’t need more tools. You need a strategy that makes them work - one your team actually uses and scales.❌ Growth doesn’t have to burn people out.❌ Innovation doesn’t have to cause chaos.❌ Adoption doesn’t have to feel like pulling teeth.Yes, you can have a team that’s aligned, efficient, and excited about the tools you’ve already bought.Picture this:✅ Your team logs in to one system - clean, connected, and calm.✅ No workarounds. No duplicates. No duct-taped processes to worry about.✅ Loan officers hear "yes" more often as they focus fully on clients.✅ New hires feel confident from day one, guided by smart tools.✅ And the tech you have? People actually use it - and love itThis can be your reality. Because it’s what happens when change and adoption are managed well.Ready to unlock productivity + efficiency? Shoot me a DM or book a complimentary discovery call.

Suha Zehl, CMB®

Are you getting excited?


This morning, as I sat down to drink my morning coffee☕it hit me! We are two weeks away from #MBAIMB26 ‼️And that's when I step on the mPower stage to speak about mentorship alongside Laura Koller Hopkins, AMP, Mindy Stearns, Neena Vlamis 🔵, LaTasha Waddy, Savannah Hooker, and Stephanie Paull 🔥

It’s truly a “pinch me” moment…

Several years ago, many of us received this make-up bag as part of the mPowering You #swagbag. It simply reads, “Let’s Make Herstory!” and it has been one of my most treasured swags, ever! It has traveled with me all over the world and it quietly reminds me that progress is not just something we talk about, it’s something we create, together.

And the most powerful ways we help create “herstory”? It's through
#mentorship

And as you know, my word for 2026 is #Clarity 
Clarity about who I’m here to serve.
Clarity about the legacy I’m building.
Clarity about the responsibility I carry.

Leadership is not a title. It’s not about control or position.

As leaders, it's our responsibility to mentor the next generation, help them develop the skills, confidence, and courage they’ll need to lead when their time comes. We have to lift as we rise, and we have to be intentional about pulling up more chairs, making room for those coming behind us.

I’m truly honored to contribute to this conversation at IMB 2026, and I can’t wait to connect with everyone at the mPower Lunch.

“Anchored Together: The Power of Mentorship”
📍 Where: The Ritz-Carlton, Amelia Island, FL
📅 When: Tuesday, February 3, 2026
🕛 Time: 12:00 PM – 1:15 PM
👉🏼 Registration Link: https://bit.ly/45csLB2

#SuhaBeidasZehl #PinchMe #LiftAsWeRise #DreamDareDo

Suha Beidas Zehl, CMB

Breaking News 📢
Upfront Income is here‼️

On Friday, in an article written by Neil Pierson, HousingWire announced that Prudent AI has launched its new platform, 𝙐𝙥𝙛𝙧𝙤𝙣𝙩 𝙄𝙣𝙘𝙤𝙢𝙚, which provides instant qualified income calculations for all loan types.
 
Why is this a big deal? Because we all know that lenders have long suffered from last-minute hiccups that can kill a deal – usually it's related to income 𝐚𝐧𝐝 it happens at the worst possible time. 

And when that occurs, you end up with upset LOs, disappointed customers, and a customer experience that leaves a lot to be desired.
 
Does that sound familiar? Is that your reality today??
Well this solution will change that...
 
Borrowers’ income streams are more complex than ever - making it harder each day to calculate accurate qualified income. So to have, as Jayendran GS said, "One tool. All income types. All loan programs"? That’s huge!

Let all that sink in for a moment! 

That's agency AND non-QM programs 💥
That's W-2s, 1099s, bank statements, tax forms, paystubs

And while that sinks in, I want you to know I had a #sneakpeak with the team a few days before the announcement came out - and it absolutely does what it claims: One tool to rule them all and handle every income document and every loan program. 
✓ It auto-calculates qualified income for FHA, VA, and USDA loans
✓ It aligns to agency & investor specific guidelines
✓ It auto-computes data for Fannie and Freddie income

And what's more, it calculates qualifying income for agency and non-QM loans with the accuracy and speed your pipeline demands. 

By bringing income calculation upfront, that's Prudent AI's #shiftleft mindset, LOs get the information they need instantly and with certainly so they can advise their customers on the best options.

No more switching between systems, no more headaches! 
Upload once, calculate anywhere.
 
Did I mention this was big? Read the full announcement here:  https://lnkd.in/dei4JZ_V

Want to learn more? Reach out to Diane Capers, Daniel Miller, PMP or anyone from the #PrudentAI team... 

Mortgage Bankers Association
National Mortgage News
National Mortgage Professional
Chrisman Commentary

#SuhaBeidasZehl #UpfrontIncome #QualifiedIncome #OneToolToRuleThemAll
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The Battle

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