Paramesh waran

📊 Passionate Trader & Investor | 🔍 Technofunda approach |
💡 Sharing insights, strategies & market updates | 📢 Tweets ≠ Financial Advice

[Paramesh waran @prmshwrn]

I hope you all are finding my charts helpful.🙌🙌🩷🩷

Do Join My telegram channel for Exclusive Content and Live Updates!

https://t.co/gzz03ufdCl

[Paramesh waran @prmshwrn]

@Ocenasolutions Please share your resume
Hr@[email protected]

[Paramesh waran @prmshwrn]

We are #hiring

Available #Positions (Experience Required: 5-12 years):

- Mobile Architect / Lead: 8-12 years
- Senior Android Developer (Kotlin / Jetpack Compose)
- Senior iOS Developer (Swift / SwiftUI)
- Backend Engineer (Blockchain / Rust / NodeJS)
- Database Expert (SQL/ NoSQL)
- AI/ML Engineer
- KMP Specialist
- DevSecOps Engineer
- Mobile / API QA Engineer
- Business Analyst

We are currently #Recruiting. Please feel free to reach out for #referrals and kindly share this #opportunity with your network.

[Paramesh waran @prmshwrn]

@EzekielCrrypt Please send your resume.

[Paramesh waran @prmshwrn]

@TVKVijayHQ 2026 👑

[Paramesh waran @prmshwrn]

🚨 Amazon just FIRED 30,000+ workers in HR, cloud & more.
Same pain as 2022.
Big dreams = crushed.

Giving all your time to giants kills small companies & causes these layoffs.
💼 Start your own
🏃‍♂️ Stop chasing "safe" big jobs.
👨‍💻 Build the next Amazon.

Don't beg to stay in this one.

RT if you're OVER corporate games!
#AmazonLayoffs #SupportStartups #BuildYourOwn #StopLayoffs #TCS #meta #intel #Microsoft

[Paramesh waran @prmshwrn]

Most machine learning projects don’t fail due to bad algorithms or missing data... they fail because we chase performance not purpose... we start with what’s possible instead of what’s painful. And that’s the real trap.

🧭 What a Successful ML Journey actually Looks Like

The ML lifecycle isn’t just model training. It’s a full business journey:
✒︎ Business Understanding – Identify the real, costly problem you’re solving.
✒︎ Data Collection – Gather data that reflects that problem.
✒︎ Data Understanding – Explore patterns, gaps, and correlations.
✒︎ Data Preparation – Clean and organize your dataset. (I’ve seen accuracy improve by deleting 70% of irrelevant data.)
✒︎ Model Building – Choose algorithms that fit your business case, not the hype.
✒︎ Model Training – Let the model learn from meaningful data.
✒︎ Model Testing – Validate performance on unseen data.
✒︎ Model Evaluation – Measure results — not just accuracy, but business value.
✒︎ Model Deployment – Make it usable for real people. ✒︎ CI/CD (Continuous Integration/Deployment) – Keep improving with feedback and automation.

notice something?
Only steps 5 to 8 involve model building. That’s 30% of the work. The other 70% is business alignment, user trust, and adoption.

📷 What Experience Taught Me

⛳︎ Start with pain, not potential. If the problem doesn’t hurt, no one will care about your solution.
⛳︎ Do a data reality check. You don’t need more data you need meaningful data. I’ve seen models get better after removing 70% of noise.
⛳︎ Pick the right approach for the goal.
Supervised = you know what to predict. Unsupervised = you’re exploring.
Reinforcement = you’re teaching systems to adapt.

#MachineLearning #AI #DataScience #MLOps #BusinessStrategy #DigitalTransformation #hiring #join #artificialintelligencetutorial #LearnAI

[Paramesh waran @prmshwrn]

#Google is now offering #Gemini AI Pro worth 35K including 2TB storage for 18 months for free in partnership with $Reliance for #JIO Users !

[Guidance Tamil Nadu @Guidance_TN]

#Kaynes and Tamil Nadu’s Electronics Leap!

#Kaynes, which signed an MoU with the State during the #Thoothukudi Investors Conclave in August 2025, has recently had its projects sanctioned under the Electronics Component Manufacturing Scheme (ECMS).

With plans to expand in #Chennai and #Thoothukudi, focusing on PCBs and laminates, this milestone has marked another major stride in Tamil Nadu’s stance as a leader in electronics manufacturing and advanced component production.
#InvestinTN #BullishonTN #JobsforTN
@TNIndMin @GoI_MeitY @ELCINA_INDIA

[Piyush Trades @piyush_trades]

3 months before Lenskart’s IPO, Peeyush Bansal took a loan of ₹200 crores and bought shares of Lenskart at a valuation of ₹8,500 crores.

Now he is bringing the IPO at a valuation of ₹70,000 crores which means his initial investment of ₹200 crores has now become ₹850 crores.

400% returns in 3 months. What did his company do in just 3 months that his valuation soared by over 8 times? Isn’t this a financial crime?

[Nalini Unagar @NalinisKitchen]

This shark Peyush Bansal started an online glasses store called Lenskart and kept saying it’s a great new idea… “no one sells glasses online” and all that.

But people did not like buying power glasses online. So Lenskart opened shops in the market just like every other eyewear shop.

And the prices? Too high. You can get similar frames and lenses from local shops for much less.

In Surat, go to Pratik Arcade near Chowk Bazaar, you will get good customised glasses in 10 minutes for almost half the price. Every city has similar manufacturers.

[Paramesh waran @prmshwrn]

Most machine learning projects don’t fail due to bad algorithms or missing data... they fail because we chase performance not purpose... we start with what’s possible instead of what’s painful. And that’s the real trap.

🧭 What a Successful ML Journey actually Looks Like

The ML lifecycle isn’t just model training. It’s a full business journey:
✒︎ Business Understanding – Identify the real, costly problem you’re solving.
✒︎ Data Collection – Gather data that reflects that problem.
✒︎ Data Understanding – Explore patterns, gaps, and correlations.
✒︎ Data Preparation – Clean and organize your dataset. (I’ve seen accuracy improve by deleting 70% of irrelevant data.)
✒︎ Model Building – Choose algorithms that fit your business case, not the hype.
✒︎ Model Training – Let the model learn from meaningful data.
✒︎ Model Testing – Validate performance on unseen data.
✒︎ Model Evaluation – Measure results — not just accuracy, but business value.
✒︎ Model Deployment – Make it usable for real people. ✒︎ CI/CD (Continuous Integration/Deployment) – Keep improving with feedback and automation.

notice something?
Only steps 5 to 8 involve model building. That’s 30% of the work. The other 70% is business alignment, user trust, and adoption.

📷 What Experience Taught Me

⛳︎ Start with pain, not potential. If the problem doesn’t hurt, no one will care about your solution.
⛳︎ Do a data reality check. You don’t need more data you need meaningful data. I’ve seen models get better after removing 70% of noise.
⛳︎ Pick the right approach for the goal.
Supervised = you know what to predict. Unsupervised = you’re exploring.
Reinforcement = you’re teaching systems to adapt.

#MachineLearning #AI #DataScience #MLOps #BusinessStrategy #DigitalTransformation #hiring #join #artificialintelligencetutorial #LearnAI

[Paramesh waran @prmshwrn]

🚨 Amazon just FIRED 30,000+ workers in HR, cloud & more.
Same pain as 2022.
Big dreams = crushed.

Giving all your time to giants kills small companies & causes these layoffs.
💼 Start your own
🏃‍♂️ Stop chasing "safe" big jobs.
👨‍💻 Build the next Amazon.

Don't beg to stay in this one.

RT if you're OVER corporate games!
#AmazonLayoffs #SupportStartups #BuildYourOwn #StopLayoffs #TCS #meta #intel #Microsoft

[Paramesh waran @prmshwrn]

Exciting Opportunity:

Artificial Intelligence Engineer at Veunex (Bengaluru, Hybrid)

Veunex is innovating with the world’s first AI-powered safety automation platform for the Oil & Gas sector. The role of Delivery AI Engineer offers a chance to build and optimize advanced AI solutions with real-world impact.

Role Highlights:

Training and fine-tuning AI models for industrial safety
Optimizing data workflows and real-time monitoring
Deploying and maintaining AI systems in onshore/offshore environments
Monitoring performance and boosting model accuracy
Collaborating across product, software, and HSE teams
Leading technical trainings for on-site teams

Ideal Background:
Bachelor’s/Master’s in CS, IE, Data Science (or related fields)
Skilled in Python, SQL, Docker, ML frameworks (PyTorch/TensorFlow)
Hands-on with model deployment, performance optimization
Experience with computer vision/time-series data is a plus
Willing to travel frequently, including offshore

About Veunex:

Mission-driven, startup environment
Growth trajectory in the AI/energy space
Direct impact on operational safety

🔗 For more details, click on this link below to join a WhatsApp group to get alerts.

https://t.co/rYRiV46T30

#hiring #hiringAi #Aiengineer #LLM #machinelearningprojects #Jobs #learning

[Paramesh waran @prmshwrn]

If you're on this journey, identify your current stage and focus on mastering the next. It’s not just about the trades but the evolution behind them.
Feel free to DM me with your stage, and let’s work together to advance your trading game!
#Trading #Finance #RiskManagement

[Paramesh waran @prmshwrn]

The Trader’s Journey: The 5 Stages to Profitable Trading

Every successful trader starts somewhere, but very few talk about the real path to mastery. Over the years, I've discovered that becoming consistently profitable isn't just about learning a strategy.

[Paramesh waran @prmshwrn]

Which stage are you in right now?
Whether you’re just starting or refining your edge, persistence, patience, and a willingness to learn are your biggest assets. Celebrate every phase,every win, every lesson. 💡