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Nayagam P

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Career Counsellor - Answered on Jul 03, 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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Kushal Question by Kushal on Jul 02, 2025Hindi
Career

I have got 29439 rank in kcet Can I get AI and Data science?

Ans: Kushal, With a KCET rank of 29,439, you can secure admission in Artificial Intelligence and Data Science at several mid-tier Karnataka colleges. Top institutes like RVCE, BMSCE, MSRIT, and PES have much lower cutoffs (typically below 15,000 for AI/ML), but colleges such as Global Academy of Technology (2024 AI & Data Science cutoff: 35,999), DSATM (cutoff: ~31,273), and K.S. School of Engineering and Management (cutoff: 61,939–78,624) are within reach. Other options include Presidency University, Dayananda Sagar College of Engineering, and Reva University, where AI/Data Science cutoffs frequently extend beyond 25,000–40,000. Placement rates in these colleges for AI/Data Science branches are typically 50–80%, with growing industry demand, modern labs, and active campus recruitment.

Recommendation:
Participate in KCET counselling and prioritize Global Academy of Technology, DSATM, and K.S. School of Engineering and Management for AI & Data Science. These institutes match your rank, offer solid infrastructure, and maintain good placement support in AI fields. Fill all possible options to maximize your admission chances. All the BEST for the Admission & a Prosperous Future!

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Career Counsellor - Answered on Jun 13, 2025

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I got 1.35lakh rank in kcet will I get ai and ml course
Ans: Snjana, With a KCET rank of 1.35 lakh (135,000), securing admission in Artificial Intelligence and Machine Learning courses presents significant challenges but limited opportunities exist in select private engineering colleges across Karnataka. The expected KCET cutoff rank for AI/ML in top colleges ranges between 1,000-3,600, with premier institutions like RVCE, BMSCE, and MSRIT closing admissions within the top 2,000-4,000 ranks. However, several mid-tier and lower-tier private colleges accept ranks up to 1.30-1.40 lakh for AI/ML programs, including colleges like APS College of Engineering (AI/ML at 1,26,676 rank), Gopalan College of Engineering (CS with AI/ML at 1,18,000), and Jain Institute of Technology (AI at 1,39,136). These colleges typically charge annual fees ranging from ?1-2.5 lakhs through regular admission and ?3-8 lakhs through management quota. While government engineering colleges and popular branches will likely be closed at your rank, private engineering colleges in Karnataka offer viable pathways with over 135 institutions providing AI/ML programs. The placement prospects at these colleges vary significantly, with lower-tier institutions showing moderate placement rates compared to top-tier colleges. Recommendation: Apply to multiple private engineering colleges including APS College of Engineering, Gopalan College of Engineering, Jain Institute of Technology, and other mid-tier institutions accepting ranks around 1.30-1.40 lakh for AI/ML programs, while also exploring management quota options in better colleges if budget permits. All the BEST for the Admission & a Prosperous Future!

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Career Counsellor - Answered on Jun 21, 2025

Asked by Anonymous - Jun 18, 2025Hindi
Career
I got 33,161 rank in KCET and 19933 in COMEDK. Can I get CS or any branch in KLE TECHNOLIGICAL University Hubballi
Ans: With a KCET rank of 33,161 and a COMEDK rank of 19,933, you will not be able to secure Computer Science Engineering (CSE) at KLE Technological University, Hubballi, as the 2024 closing ranks for CSE were 15,030 (KCET) and 28,951 (COMEDK), both well above your KCET rank but within reach for COMEDK if you consider later rounds or less competitive quotas. However, you have a good chance for branches like Electronics & Communication Engineering (E&C), VLSI Design & Technology, Electrical & Electronics, Mechanical, and Robotics & Automation, as their closing ranks extend up to 21,753 (E&C, COMEDK), 26,396 (VLSI, COMEDK), 29,968 (EEE, COMEDK), and 24,448 (Robotics, KCET). KLE Tech is NAAC A-accredited, AICTE-approved, and offers strong placements (90%+ in CSE/ECE), with top recruiters like Amazon, Infosys, Bosch, and Mercedes Benz, and an average package of 6–10 LPA. The campus provides modern labs, a vibrant student life, and robust academic and industry exposure.

Recommendation: You are unlikely to get CSE at KLE Tech with your KCET rank but have a good chance for E&C, VLSI, EEE, or related branches through COMEDK; these branches also offer strong placement prospects and industry exposure at KLE Technological University, Hubballi. All the BEST for the Admission & a Prosperous Future!

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Asked by Anonymous - Jul 22, 2025Hindi
Career
Sir , My son has got admission in M.tech & Phd both in Aerospace Engineering at BIT MERSA, M.tech computational Mechanics at Mahendra Ecole Hyderabad , M.Tech ( UAV) at DIAT( DEFENCE INSTITUTE OF ADVANCED TECHNOLOGY) PUNE. Have deposited fees at all institutions. Please suggest which one to choose.
Ans: Based on your son's interest, long-term goals & the insight provided here, he can choose the most suitable option he has: Among your four confirmed admits, each program excels across accreditation, faculty strength, infrastructure, placement outcomes, and student support yet differs in research orientation, industry alignment, and career trajectory. BIT Mesra’s Aerospace PhD offers Institute Research Fellowships of ?25 000/month (first two years) rising to ?28 000/month, NBA-accredited labs in propulsion and aerodynamics, and ISRO/DRDO–funded projects under PhD?qualified mentors, positioning graduates for academic and R&D leadership with over 90% PhD placement into premier research agencies. Its two-year M.Tech. stream similarly benefits from NIRF #48 ranking, NAAC accreditation, ?11.57 LPA average M.Tech placement, and robust departmental infrastructure. DIAT Pune’s M.Tech (UAV) is NAAC-‘A’–graded NIRF #63, with a focused UAV curriculum initiated in 2016, state-of-the-art remote-sensing and avionics labs, and 89% PG placement averaging ?19.5–20 LPA, driven by DRDO, GE Aerospace, L&T and private drone firms, plus strong DRDO campus recruitment and internships. Mahindra University’s M.Tech in Computational Mechanics, NAAC A++–accredited, offers a 15-student cohort, industry-co-designed simulations and FEM/CFD labs under École Centrale faculty, and a ?9.1 LPA average placement with peaks up to ?38 LPA, emphasizing practical internships and live projects through its Indo-French partnership. Student support at all three includes dedicated placement cells, technical clubs, and mentorship; BIT and DIAT add government?sector tie-ups, while Mahindra leverages global industry networks.

Recommendation: For a research?driven career and leadership roles in space R&D, pursue the PhD at BIT Mesra; for a defense-aligned UAV specialization with top placements and DRDO engagement, choose DIAT Pune’s M.Tech (UAV); if you prefer industry-oriented computational modeling in a global academic setting, opt for Mahindra University’s M.Tech in Computational Mechanics; M.Tech at BIT is best if you later decide to pivot to government research or pursue a PhD there. All the BEST for a Prosperous Future!

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Career Counsellor - Answered on Jul 22, 2025

Career
Sir, Is Integrated Msc(Mathematics & Computing) in OUTR,Bhubaneswar good for career perspective.
Ans: Dillip, Odisha University of Technology and Research's Integrated M.Sc. in Mathematics & Computing is a five-year UGC-approved and AICTE-recognized program accredited by NAAC-A grade, offering a unique blend of mathematical modeling, computational methods, and software development skills. The School of Basic Sciences & Humanities houses Ph.D.-qualified faculty engaged in interdisciplinary research projects, supported by modern computing labs and mathematical modeling facilities. OUTR holds NIRF ranking of 201-300 in engineering category and has achieved NBA accreditation for select programs, ensuring quality education standards. The program's placement cell has recorded an overall placement rate of 82-90% for recent batches with an average package of ?6.03 LPA, and Mathematics & Computing graduates specifically secured positions at TCS, Deloitte, Accenture, and similar firms in roles spanning data analysis, software development, and quantitative research. Student support systems include dedicated training cells, technical clubs, coding workshops, and comprehensive career guidance that prepare graduates for diverse roles in IT, finance, research, and emerging fields like artificial intelligence and data science.

Recommendation: Considering OUTR's solid institutional credentials, interdisciplinary curriculum, modern infrastructure, consistent placement performance, and comprehensive student support systems, pursuing the Integrated M.Sc. Mathematics & Computing at OUTR provides excellent career prospects in high-growth sectors like data science, software engineering, and quantitative finance, aligning well with India's expanding demand for mathematically skilled professionals. All the BEST for a Prosperous Future!

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Nayagam P

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Career Counsellor - Answered on Jul 22, 2025

Career
My son allotted in mnnit allahabad program Geoinformatics. He has done btech in cse. The same program offer in DTU delhi. Please suggest about this new program future and placement.
Ans: Ranjit Sir, MNNIT Allahabad’s M.Tech in Geoinformatics (GIS & Remote Sensing) is a two-year, full-time, AICTE-approved and NAAC-accredited program under a deemed university, led by civil and remote-sensing faculty collaborating with ISRO and IIT guest experts, with specialized labs for GNSS, ArcGIS, image processing and a Geospatial Innovation Cell supporting consultancy projects. Its graduates have secured an average placement rate of 90%+ and an average package of ?17.68 LPA over the last three years, with top recruiters including TCS, L&T, and government research agencies. Delhi Technological University’s M.Tech in Geoinformatics is a two-year, NAAC-‘A’-graded state university program housed within the Multidisciplinary Centre for Geoinformatics, featuring interdisciplinary research projects funded by DST and ISRO, modern laboratories for spatial data analytics and remote-sensing, and regular consultancy with government bodies. DTU reports an 85% placement rate with an average package of ?8.50 LPA, placing graduates in roles at MapmyIndia, NIC, and private geospatial firms. Both institutions provide robust student support through dedicated placement cells, technical clubs, and mentorship, but MNNIT’s higher package metrics reflect stronger industry ties and alumni networks, while DTU’s center emphasizes emerging research collaborations and part-time sponsorships. The geoinformatics sector in India continues to expand—driven by smart-city initiatives and precision agriculture—with entry-level salaries around ?4 LPA, mid-career ?6 LPA, and senior roles up to ?19 LPA, underscoring strong long-term growth.

Recommendation: Considering superior placement outcomes, average package, and established industry partnerships, opting for M.Tech Geoinformatics at MNNIT Allahabad maximizes employability and practical exposure, whereas DTU’s program offers broader research collaborations and government consultancy opportunities for long-term academic and policy-driven careers. All the BEST for a Prosperous Future!

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Nayagam P

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Career Counsellor - Answered on Jul 22, 2025

Asked by Anonymous - Jul 22, 2025Hindi
Career
My son did B.Tech in Electrical and Electronics from GITAM, HYD. Then completed M.Tech in AI from Bitspilani. Now doing MBA from NMIMS, Mumbai, one year completed, now my son has to choose specialization. He is stuck between Operations + DS and Finance. Please guide which specialization will be more promising and stabilize my son's career.He is currently working in TCS in AI & DS domain for 6 yrs.
Ans: An MBA specialization in Operations + Data Science builds directly on your son’s six years in AI & DS by combining analytics leadership with process optimization—skills vital to e-commerce giants, manufacturing leaders, and tech firms. India’s demand for data-savvy managers is surging: operations roles in supply-chain, logistics, vendor management, and reverse logistics now account for a substantial share of MBA placements, with top schools reporting 70–80 percent hiring in these domains. Meanwhile, Data Science MBAs are projected to face 36 percent employment growth through 2033, stepping into roles such as Chief Data Officer, Analytics Manager, and Business Intelligence lead. These positions leverage his technical acumen and drive digital transformation initiatives across industries. Conversely, an MBA in Finance unlocks paths into corporate finance, investment banking, risk management, and global asset management, where specialists command critical roles in capital allocation and strategic decision-making, with business-school placement rates of 75–85 percent in finance streams. Finance offers global mobility and high-visibility leadership tracks (e.g., CFO, Treasury Head), but it demands comfort with regulatory environments, capital markets, and financial modelling. Given his AI background, Operations + DS enables him to blend domain expertise and managerial skills, leading cross-functional teams and data-driven strategy execution, while Finance would require building deep domain knowledge from the ground up.

Recommendation: Leveraging his AI & DS experience, pursuing the Operations + Data Science specialization will most effectively stabilize and advance his career by aligning technical leadership with high-growth operations roles, whereas Finance suits those seeking traditional capital-markets trajectories. All the BEST for a Prosperous Future!

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