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Nayagam P

Nayagam P P  |7783 Answers  |Ask -

Career Counsellor - Answered on May 26, 2025

Nayagam is a certified career counsellor and the founder of EduJob360.
He started his career as an HR professional and has over 10 years of experience in tutoring and mentoring students from Classes 8 to 12, helping them choose the right stream, course and college/university.
He also counsels students on how to prepare for entrance exams for getting admission into reputed universities /colleges for their graduate/postgraduate courses.
He has guided both fresh graduates and experienced professionals on how to write a resume, how to prepare for job interviews and how to negotiate their salary when joining a new job.
Nayagam has published an eBook, Professional Resume Writing Without Googling.
He has a postgraduate degree in human resources from Bhartiya Vidya Bhavan, Delhi, a postgraduate diploma in labour law from Madras University, a postgraduate diploma in school counselling from Symbiosis, Pune, and a certification in child psychology from Counsel India.
He has also completed his master’s degree in career counselling from ICCC-Mindler and Counsel, India.
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Asked by Anonymous - May 26, 2025
Career

I got 5600 rank in jee paper 2 b arch...is there any chance for me to get a college on the basis of this rank?

Ans: With a JEE Main Paper 2 (B.Arch) rank of 5600, you have a reasonable chance of securing a B.Arch seat in several NITs, SPAs, or other participating institutes, especially in later counseling rounds or if you have category reservation. While admission to the top NITs and SPAs may be challenging for the general category, your rank is still competitive for many good colleges. Consider applying widely through JoSAA/CSAB and keep an eye on cutoffs during each round for the best options. Instead of depending solely on JoSAA, have backup plans with private engineering colleges using your JEE score. All the best for your admission and a bright future!

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Asked on - May 26, 2025 | Answered on May 26, 2025
Thank you sir
Ans: Welcome.
Career

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HR, Leadership coach - Answered on Jul 03, 2025

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Hello Sir ,spandan here can you please tell me which fields will be good path for me, i want to join indian army after getting a bachelors degree but i also want to get a good course in engineering. And to improve my skills i wanted to choose a niche to select like Data science,cyber security,block chain and UX/UI. Can you tell me which is a better option
Ans: Spandhan - the Indian Army of 2030: satellites humming, networks under attack, swarms of sensors feeding dashboards in a forward command post. Officers who understand code, data flows, and signal security steer that fight.

Two decisions shape your path
The bachelor’s branch you choose (for campus learning and placements).

The Army entry gate you target after graduation.

Pick a branch that helps both goals: B.Tech CSE with a Cyber-Security or AI/Data-Science minor

Specialised B.Tech Cyber Security | Blockchain / UX-UI tracks| B.Tech ECE (electronics) with electives in embedded & comms

Go CSE (or ECE) and stack cyber-security / data-science electives. That mix lines up with Army tech entries and the private market.

Know your post-degree entry doors

TGC / SSC-Tech 20-27 Age B.E./B.Tech in listed branches inc. CSE, IT, ECE Signals, EME, Engineers

CDS – IMA/OTA 19-25 Any bachelor’s, tougher written + SSB All arms; tech grads often posted Signals

Agniveer (Technical) 17.5-21 10+2/ITI, but engineering diploma grads gain edgeKeep your CGPA ≥ 7, build fitness early, aim for NCC ‘C’ (bonus marks at SSB).Pick cyber-security as primary, add AI/data electives. You’ll be useful whether you wear olive greens or a hoodie.

Keep the plan simple: CSE + Cyber/AI → TGC/SSC-Tech → Corps of Signals.
Even if you later choose the corporate highway, those same skills pay handsomely.

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Nayagam P

Nayagam P P  |7783 Answers  |Ask -

Career Counsellor - Answered on Jul 03, 2025

Career
Which is better among cse or csai?
Ans: Chhavi, Five critical institutional pillars—NBA/ABET accreditation, PhD-qualified and research-active faculty, cutting-edge infrastructure and specialized labs, robust industry collaborations for internships and research, and efficient placement and career services—underpin the effectiveness of both CSE and CS-AI programs. Computer Science Engineering (CSE) provides a broad foundation in programming, algorithms, data structures, software engineering, networks, and operating systems, ensuring versatility and adaptability across software development, cybersecurity, cloud computing, and research domains. Pros of CSE include its comprehensive curriculum, multiple career paths, research opportunities, global recognition, and robust 80–95% placement rates over the last three years. Cons include its generalized scope diluting specialization in AI/ML, larger cohorts leading to competition for resources, potential curriculum lag in emerging technologies, heavier theoretical workload, and necessity for additional certifications for niche fields. CS-Artificial Intelligence (CS-AI) focuses intensively on machine learning, deep learning, natural language processing, robotics, and neural networks, supported by specialized AI labs and industry research centers. Pros of CS-AI include targeted expertise in high-demand skills, alignment with cutting-edge tools and frameworks, contribution to transformative sectors like healthcare and autonomous systems, higher projected job growth of 22% by 2030 vs. 11% for general computing roles, and leadership in innovation. Cons include its narrower scope limiting roles outside AI, uneven accreditation and faculty availability in some institutes, risk of rapid obsolescence, dependence on high-end computational resources, and smaller alumni networks. Over the next 5–10 years, AI is expected to revolutionize automation, enterprise solutions, scientific discovery, policymaking, and knowledge management, integrating with IoT, quantum computing, generative AI, and ethics frameworks, thereby expanding opportunities for AI specialists. Emerging domains such as autonomous vehicles, personalized medicine, predictive analytics, and AI governance underscore the expansion of AI’s influence, requiring interdisciplinary AI expertise with ethical and regulatory understanding for sustainable innovation.

Recommendation: Considering the breadth and stability of career pathways, pursue CSE if you value a comprehensive computing foundation, multiple career options, established accreditation, and sustained 80–95% placement rates, offering flexibility to specialize or pivot. Opt for CS-AI if driven by a deep passion for machine learning, NLP, robotics, and emerging AI innovations, contingent on studying at an institution with specialized labs, PhD-qualified AI faculty, strong industry research tie-ups, and robust placement support in AI roles. All the BEST for the Admission & a Prosperous Future!

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