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FREE Data Scientist & Data Analyst Resume Template
FREE: How to access any news articles behind Paywall
Shailesh Shakya
July 28, 2025
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FREE Data Scientist & Data Analyst Resume Template
Create video documentation 11x faster
Never say these 15 things in an interview (if you actually want the job)
FREE: How to access any news articles behind Paywall
Best Platforms to learn AI skills In 2025
FREE Data Scientist & Data Analyst Resume Template
Last week, I promised you to prepare FREE Data Scientist & Data Analyst Resume Template that you can edit as per your requirement.
Here is the Data Scientist Resume Template …
Please make a copy of the following Doc file to use…
Here is the Data Analyst Resume Template …
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Never say these 15 things in an interview (if you actually want the job)
1. Never say: “I don’t have any questions.”
It shows lack of curiosity or preparation. Interviews are two-way.
What to say instead: “Could you share what a typical day looks like in this role?” or “What does success look like in the first 90 days?”
Example: Ask about team structure, tools used, or growth opportunities.
2. Never show up without knowing what the company does.
It screams “I didn’t care enough to Google you.”
What to do instead: Spend 15 minutes on the company’s website and recent LinkedIn posts.
Example: “I saw your team just launched a new product—how does this role tie into that?”
3. Never say: “I left because my boss was terrible.”
It sounds like you blame others and lack professionalism.
What to say instead: “I was looking for an environment that aligned more with my growth and values.”
Example: Keep it neutral: “I’m seeking a team where feedback and collaboration are a priority.”
4. Never interrupt the interviewer.
It shows poor communication and lack of listening skills.
What to do instead: Take notes, wait, and then respond thoughtfully.
Example: Even if you're excited, let them finish. Say, “That’s really interesting—may I add something?”
5. Never oversell yourself as “the best.”
It can come off as arrogance, not confidence.
What to say instead: “I’ve consistently delivered high-impact results and I’m always improving.”
Example: “I increased campaign ROI by 38%, but I’m always testing new ways to grow.”
6. Never ramble without answering the actual question.
It shows lack of clarity and makes you hard to evaluate.
What to do instead: Use the STAR method: Situation, Task, Action, Result.
Example: “In my last role, I was tasked with reducing churn. I created a feedback system and dropped churn by 12% in 3 months.”
7. Never say: “It’s on my resume.”
If you’re unwilling to explain it, you seem lazy or uninterested.
What to say instead: “Yes, that’s on my resume. Let me walk you through how I handled it.”
Example: “I built that dashboard using Power BI, connecting live data from SQL—let me explain how.”
8. Never complain about your previous company.
Even if you’re right, it makes you seem negative and risky.
What to say instead: Focus on what you learned and what you’re looking for next.
Example: “I learned a lot, but I’m ready for a new challenge where I can grow faster.”
9. Never say: “I’m just looking for anything.”
It shows lack of self-awareness and direction.
What to say instead: “I’m looking for a role in [specific area] where I can contribute [specific skills].”
Example: “I’m passionate about backend development, especially using Node.js and SQL.”
10. Never lie about skills or experience.
You will be caught—maybe not in the interview, but soon after.
What to do instead: Own your gaps, and show your willingness to learn.
Example: “I haven’t used Snowflake yet, but I’ve worked with Redshift and can ramp up quickly.”
11. Never forget to highlight measurable results.
You sound vague and generic.
What to do instead: Share numbers, outcomes, and impact.
Example: “Optimized a campaign that boosted lead conversion by 24% in 6 weeks.”
12. Never wait until the end to show enthusiasm.
If you seem bored, so will they.
What to do instead: Let your energy show throughout the interview.
Example: “I’ve followed your work for a while—I’m really excited about this opportunity.”
13. Never dodge the “weakness” question with a fake answer.
Saying “I work too hard” sounds scripted and dishonest.
What to say instead: Mention a real (but non-critical) weakness and how you’re improving it.
Example: “I used to rush tasks to hit deadlines, but I’ve learned to slow down and triple-check.”
14. Never say: “I don’t really have much experience.”
It downplays everything you've done—and confidence matters.
What to say instead: “I’m early in my career, but I’ve already done [project/skill/experience].”
Example: “I’m new to data science, but I’ve built 3 projects and published one on GitHub.”
15. Never forget to follow up.
No follow-up = no interest. It’s that simple.
What to do instead: Send a short thank-you email the same day.
Example: “Thank you for the great conversation today. I’m even more excited about the opportunity after our chat.”
How to Bypass Paywalls: A Simple Step-by-Step Guide
First, Know the Type of Paywall:
Soft Paywall — Allows a few free articles (e.g., NYT, Washington Post)
Dynamic Paywall — Uses behavior tracking to decide when to block you (e.g., Medium)
Hard Paywall — Blocks content completely from the start (e.g., Wall Street Journal)
For Soft Paywalls
1. Turn Off JavaScript
– Go to your browser settings
– Disable JavaScript for the site (Chrome, Safari: Settings > Privacy & Security; Firefox: type about:config → search javascript.enabled)
This prevents the paywall from loading
2. Clear Cookies
– Open browser settings → Clear browsing data → Select Cookies
- Resets article count as if you're a new visitor
3. Use an Ad Blocker
– Install uBlock Origin
– Enable all filter lists
- Sometimes removes soft paywalls entirely
For Dynamic Paywalls
4. Use a Summary Tool (like )
– Paste the article URL into https://www.smry.ai/
- These tools act like a “crawler,” letting you read text without the paywall
- No images or videos, just the article content
For Hard Paywalls
5. Pretend to Be Google
– Open Chrome DevTools → More Tools → Network Conditions
– Change “User Agent” to Googlebot
(Firefox: type about:config → general.useragent.override → paste Googlebot 2.1)
- Sites show content to bots for indexing
6. Delete the Paywall Manually
– Right-click on the paywall → Inspect
– Find code labeled paywall or subscribe → Delete
- Removes the visual barrier (may break the page)
Methods That Work on All Paywalls
7. Facebook Redirect Trick
– Add a Facebook-related prefix to the URL (some sites unlock content if traffic looks like it came from Facebook)
- May work on participating publishers only
8. Use a VPN
– Switch servers to appear as a new visitor from another country
- It Resets soft paywall counters; works for region-locked articles
9. Use Anti-Paywall Extensions
– Look for Bypass Paywalls Clean on GitHub
- Avoid Chrome Web Store versions—use trusted sources only
- Always review extension permissions to stay safe
10. Use Tor Browser
– Download Tor → Open article → Click “New Identity” if blocked
- Each session is a clean slate
- Use with a VPN for better security, and avoid non-HTTPS sites
For Academic Articles
11. Use Research Access Tools
– Visit Unpaywall or Open Access Button
– Paste the paper’s URL or DOI
- Instant access to legal open-access copies
Is the Résumé Losing Its Relevance (My thoughts)?
Something unusual is happening in the world of hiring.
With tools like ChatGPT making it easier than ever to create polished job applications, many employers are now overwhelmed. According to LinkedIn, over 11,000 job applications are submitted every minute…a 45% increase from last year.
Most of these applications are now AI-assisted, making it nearly impossible to tell who’s truly interested in the role and who’s just mass applying.
One HR consultant shared that she received more than 1,200 applications for a single remote role. Months later, she was still sorting through them.
To keep up, companies are turning to automation themselves using screening tools, chatbots, and AI filters to manage the flood. But it’s led to a new problem: job seekers are using AI to get through AI, and in the process, authenticity is getting lost.
And it's not just about volume.
Gartner recently reported a more serious trend: by 2028, an estimated 1 in 4 job applicants could be fraudulent. Some AI tools can even insert invisible text into résumés to trick screening systems something a human recruiter would never catch.
There’s also growing concern about fairness. Research shows that automated screening systems often carry the same biases as human recruiters, favoring certain names or backgrounds and raising legal and ethical questions.
So where do we go from here?
Résumés once signaled genuine effort. But when anyone can generate hundreds of tailored applications in minutes, they no longer carry the same weight.
Some believe the future of hiring may shift toward portfolio reviews, trial projects, or live problem-solving sessions …approaches that are harder to automate and better reflect real ability.
For now, both job seekers and employers are trying to adapt. But one thing is clear: in a world filled with fast, automated applications, the value of real human connection.. and thoughtful effort is more important than ever.
Anthropic Changes Its Stance on AI in Job Applications
AI startup Anthropic once banned candidates from using AI to apply for jobs. Now, it allows limited use.
Candidates can now use Claude (Anthropic's AI) to polish resumes, write cover letters, and prepare for interviews. But AI is strictly off-limits for take-home tasks and live interviews. The goal is to assess real thinking and communication skills.
This shift reflects the growing role of AI in hiring—by both applicants and employers. While AI can streamline applications, misuse and false claims remain a concern.
Anthropic’s change shows a broader trend: even AI companies can’t ignore how embedded these tools have become in job hunting.
4 Open Source Tools Every Developer Should Know
1. HMPL.js
Tiny, block-based templating engine that fetches and renders components server-side—fast and lightweight.
2. readme.so
Create beautiful, structured README files in minutes with a drag-and-drop interface.
Your AI pair programmer autocomplete code, generate functions, and boost productivity inside VS Code.
4. MLX (Apple)
Apple’s open-source ML framework built for Apple Silicon—optimized for speed and memory.
Best Platforms to learn AI skills In 2025
If you're looking to build real AI skills without spending a dime, here are my top picks:
AI For Everyone – Coursera: Beginner-friendly course by Andrew Ng that explains AI concepts clearly. Great for non-tech professionals too. (Free to audit)
Machine Learning with Python – LinkedIn Learning: Quick, beginner-level course that teaches Python and ML basics. Includes completion certificate.
AI Skills Challenge – Microsoft: Short, hands-on modules to learn Azure-based AI skills. Earn a free Microsoft badge upon completion.
AI/ML Learning Plan – AWS Skill Builder: Foundational-to-advanced AI and machine learning content from Amazon’s own training platform.
AI Fundamentals – IBM SkillsBuild: Job-focused, beginner-friendly courses with digital badges. Ideal for career switchers or freshers.
Prompt Engineering with ChatGPT : Short and powerful course to learn how to write effective prompts using ChatGPT. Highly rated.
Generative AI – Google Cloud Skills Boost: Learn generative AI concepts directly from Google. Covers prompting, ethics, and use cases.
Generative AI for Educators – Google for Education: Perfect for teachers. Shows how to integrate AI into classrooms and lesson plans.
AI for Everyone: Master the Basics – edX: University-backed (Harvard/MIT) introduction to AI. Audit free, certificate optional.
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Until next time - shailesh and NextStepCareer