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Mayank

Mayank Kumar  | Answer  |Ask -

Education Expert - Answered on May 25, 2023

Mayank Kumar is the co-founder and managing director of upGrad, a higher EdTech company. With over 10 years of experience in the education sector, Kumar can offer guidance about degree courses, campus, job-linked and executive programmes and studying abroad.An MBA graduate from ISB Hyderabad, he holds a BTech in mechanical engineering from IIT Delhi.... more
Prabhat Question by Prabhat on May 24, 2023Hindi
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Hello Mayank. I am a Automotive Testing professional having 8 years of experience. I have current CTC of 9 Lacs per annum but in recently I changed my profile to Program manager. I dont like this role and want to change my career to Data Science/AI/ML as I used to dealt with data in my previous jobs to do Reliability analysis. Request you to suggest me whether should i switch to career in Data , if yes then what's the career path and approach.

Ans: Switching your career to Data Science/AI/ML can be a rewarding decision, given the increasing demand for professionals with expertise in these fields. With your previous experience in dealing with data for reliability analysis, you already possess a foundation that can be advantageous in transitioning to a career in data-driven roles.
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sir, i am 43 yrs old, completed my bachelors in Mechanical engg and doctorate from NIT. Presently, working in a private university with research and academic roles and responsibilities. With the interest of students in this domain has gone down drastically during the past few years, can you advice for a change in career like Data science etc as my present ctc is less than 8 lpa
Ans: Even though a career switch from a Doctorate in Mechanical Engineering to Data Science represents a transition that aligns with the growing interdisciplinary nature of modern research and industry I am of the view that you need to build on your years of academic experience in Mechanical Engineering by leveraging your doctorate in Data Science to further your career as a researcher professor in academia by contributing to cutting-edge research, guiding students, and shaping the field through your expertise.
Also explore consulting assignments in companies, especially in engineering and manufacturing, to help them use data science for optimization, predictive maintenance, and process improvement.
By wearing a Data Scientist in Engineering or Manufacturing hat marry your mechanical engineering background with data science skills look for roles that involve analyzing and optimizing engineering processes, designing experiments, and leveraging data for product development.
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My son got 245 in bits .He can get any Brecht branch
Ans: Priyanka Madam, by now your son must have been allotted/not allotted any seat by BITS. Please update the status for today. However, please note, A BITSAT score of 245 situates you within the previous two years’ closing-score bands for core engineering streams at the Pilani, Goa, and Hyderabad campuses. At Pilani, the B.E. Chemical Engineering cutoff ranged from 224 in 2023 to 247 in 2024, placing your 245 close to the 2024 threshold and comfortably above 2023’s mark; B.E. Civil Engineering closed at 213 and 238, making admission highly probable; and B.E. Manufacturing Engineering cutoffs of 220 and 243 indicate a strong likelihood of allotment. At Goa, Chemical Engineering closed at 239 in 2024 and 248 in 2023, and Civil around – (not offered in 2024) – but Pilani-equivalent streams suggest safe admission; Manufacturing cutoffs mirror Pilani trends, bolstering your prospects. At Hyderabad, Chemical Engineering cutoffs of 238 and 209 over the two years ensure a secure allotment, while Civil Engineering’s 235–204 band similarly favors your score; Manufacturing at Hyderabad showed closing marks near 218–251, indicating moderate probability. Across campuses, Civil and Manufacturing remain reliably within reach, Chemical at Pilani may require waitlist movement but is feasible given historical fluctuations, and all three streams at Hyderabad and Goa present strong chances. Additional seats open during special iterations further enhance admit probabilities.

Recommendation: Considering consistent cutoff trends and seat matrices, prioritize B.E. Civil and Manufacturing Engineering at BITS Pilani for guaranteed allotment, consider Chemical Engineering at Pilani via waitlist movement, and secure Chemical, Civil, or Manufacturing Engineering at BITS Hyderabad or Goa for assured admission, capitalizing on slightly lower cutoffs and ample seat availability. All the BEST for a Prosperous Future!

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I am working as Business Analyst from past 4 years but I wanted to move to technical role. I have done Btech in CSE from tier-3 college. I wanted some advise on the the best way to switch to a tech role. 1. Taking some online boot camp to get in-depth knowledge and doing side projects over the weekends 2. Taking WILP from BITS in Software engineering/ data science 3. Prepare from GATE 2026 and aim for IITs
Ans: Manjunath Sir, To shift into a technical position, integrating structured learning, credentialing, and practical experience is essential. The recommended pathway combines immersive project-based training with a recognized postgraduate credential while keeping a long-term goal of elite technical qualification. Begin with a part-time online software engineering or data science bootcamp, dedicating weekends to substantial portfolio projects to build hands-on skills and confidence in key stacks . Concurrently, enroll in BITS Pilani’s Work-Integrated M.Tech (Software Engineering or Data Science & Engineering) to earn a UGC-approved postgraduate degree without leaving your job, benefitting from weekend live classes, remote labs covering full-stack or analytics tools, and a final semester dissertation that bridges theory with organizational impact . This dual track—bootcamp plus WILP—provides immediate upskilling, peer and mentor networks, and a formal degree. After 12–18 months, if aiming for top-tier R&D or core engineering roles, commence GATE 2026 preparation via a structured three-phase roadmap: concept building (June–August), full-length practice (September–November), and final mock-test calibration (December–January), targeting a CSE rank

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