My Career Sutra

We live in a highly competitive world where even getting the right interview call has become a major challenge. With many companies now using AI in their hiring and recruitment processes, even a small mistake can turn into a serious setback in your career growth.  From my experience as a recruiter, here are some of the most common mistakes made by non-serious fresher job seekers :  1. Weak Resume Most freshers send out resumes that look identical to everyone else. Long paragraphs, unclear skill sections, and no real proof of what they can do. Recruiters skim hundreds of resumes every day. If yours doesn’t show relevance in the first ten seconds, it gets ignored. Example : A BBA fresher writes “Good communication, leadership, teamwork,” but shows no situation where these skills were used. A sharper resume would include a college event they coordinated or a small project they handled. This turns vague claims into evidence. 2. No Real Skills Freshers often have degrees but lack ...

Let me put it simply. The world has always changed, but it usually changes slowly. Over the last two centuries, we moved from farming to factories, from big joint families to nuclear ones, from slow manual work to computers, from coal to electricity, and now to green energy. People moved from small villages to big cities, education and healthcare improved, and life got more modern step by step. But the mix of the pandemic and AI didn’t follow this slow pattern. It hit like a storm. Within five or six years, it rewrote many things we thought were fixed forever. It changed how companies hire, what people study, what careers look like, and how job markets operate. The biggest shock of all is this: a degree alone isn’t enough anymore. Not because degrees are useless, but because companies need skills that workers can use right away. Today, every company is under pressure to move fast. They can’t afford long training cycles. They seek new employees who can contribute almost immediately. Tha...

  AI refers to artificial intelligence. It allows machines to perform tasks that normally require human thinking.  AI systems process large data sets and use algorithms to understand situations, recognize patterns and make decisions. This drives problem-solving and automation across areas such as self-driving vehicles, virtual assistants and medical diagnostics. Core AI technologies include  Machine learning,  Deep learning,  Natural language processing,  Computer vision  Robotics. AI is used across healthcare, transport, finance, customer service, entertainment and many other sectors that now rely on automation and data-driven decision making. Key technical skills include   Python, machine learning, deep learning frameworks like TensorFlow and PyTorch, strong mathematical or statistical foundations and cloud computing. Global hiring trends :  Generative AI is driving hiring demand as organizations look for tools that improve productivity, re...

Internships and Modern Hiring Trends University Students Picture Securing a dream job after completing college is every student’s goal. Students work hard day and night to achieve it. However, over time, recruitment methods have changed significantly. Earlier, campus hiring was the primary source of recruitment for most companies. Now, many organizations are gradually moving away from traditional campus drives, especially those that prefer hiring interns—since interns already possess real-world work experience before taking up full-time roles. What is an Internship? An internship is a period during which a student works with a company to gain practical, real-time work experience. The duration can range from a few weeks to several months. Internships can be paid or unpaid, depending on the organization. The main objective is to bridge the gap between academic knowledge and workplace applicat...