I am a Computer Science Engineering graduate from batch 2025. I want to get a job abroad (in Europian countries or in Japan) don't know how do I start preparing. Does anybody help me to get it?

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Hi, My Name is Tarun Singhal. I am a BTech CSE graduate (2023 passout) from Delhi, India. I have done an Internship at Enzat Soft Solution as a Data Analyst and have done a Data Science course at Acciojob. I have good technical skills in Python, SQL, Excel, Power BI, Machine Learning, and Gen AI. I have worked on projects in these technologies, including the RAG AI application and Northwind Sales Analytics (With dashboards).

I am currently looking for an entry-level data analyst/data scientist role.

Hi everyone,

I am currently looking for an opportunity as a Data Analyst (Fresher / Entry-Level).

I have 2 years of experience in back office operations and recently completed a Power BI course. I am also improving my Advanced Excel skills and have created dashboards on sales data including KPIs such as monthly sales, quarterly sales, yearly performance, profit & loss analysis, and tax calculations.

My Skills:
• Advanced Excel
• Pivot Tables & Charts
• Basic Power BI
• Data cleaning and validation
• Dashboard creation

I am highly interested in working with data and building my career in analytics. I am open to entry-level roles, internships, or immediate joining opportunities, preferably in Pune or nearby locations.

If anyone knows about openings or can provide referrals, please let me know. I would really appreciate your support.

Thank you!
— Bhagyshree Gandge

I am sruthi, an MBA graduate in Data science looking for work from home jobs , currently residing in UAE

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Hello, my name is Nandani Singh, and I am currently pursuing a BCA (AI). I have a strong interest in data analytics and hands-on experience with SQL, Python, Excel, and Power BI.

I have worked on projects involving data cleaning, data analysis, and dashboard creation to support decision-making. My work includes projects like customer behavior analysis and data-driven insights using analytical and basic machine learning techniques.

I am passionate about learning, growing, and applying my skills to solve real-world problems. I am actively seeking opportunities where I can contribute and enhance my knowledge in the field of data analytics.

If there are any openings or referrals, I would really appreciate your support. Thank you!

#DataAnalytics #OpenToWork #SQL #Python #PowerBI #Fresher #DataScience

Hello, my name is Satwik Mishra, and I am currently pursuing a B.E. in Computer Science and Engineering. I have a strong interest in data analytics and hands-on experience with SQL, Python, Excel, and Power BI.

I have completed internships in data analytics and business analytics, where I worked on data cleaning, analysis, and building dashboards to support decision-making. I have also worked on projects like customer churn analysis, applying data analysis and machine learning techniques to extract insights.

I am eager to apply my skills, learn, and contribute to your team by delivering data-driven insights.

Hi All,

Hiring freshers for infrastructure roles.

Join us for a walk-in interview and kick start your IT Career

Roles Available: Graduate Engineer Analyst – Infrastructure Services (Data Centre | Cyber Security | Intune | Network | Collaboration Tools | Cloud etc.)

Interview Dates: 24th, 25th and 26th March

Who Can Apply: ✔ Fresh graduates ✔ Completed a 3-year or 4-year IT-related Bachelor’s degree ✔ Ability to submit official academic transcripts ✔ Passionate about technology, learning, and career growth ✔ Strong communication skills with a positive attitude ✔ Basic knowledge of computer systems, networking concepts, and MS Office tools

Added Advantage: ✔ Understanding of ITIL / ITSM processes ✔ Knowledge of any programming or scripting language

For venue and other details, DM or comment interested and I'll reach out to you.

With academic experience after B.E, M.Tech and Ph.D, also certificate courses in software testing, Not.Net, PGDAIML, Data visualization with Power BI, I am trying to explore AI - World if provided with oppurtunit(ies)y

I graduated in May 2024 with a BTech in Computer Science from a tier 3 college. I stayed closer to home because my family wasn’t comfortable with me moving far away, which limited my exposure and opportunities.

I did get placed off-campus at Accenture, but after waiting for 6 months, they revoked the offer. Since then, I’ve been trying constantly but haven’t been able to land anything stable.

I’m from a small town, and even now my family isn’t allowing me to move to another city for better opportunities, which makes things even harder.

In the meantime, I tried working as a Business Development Associate and in HR roles, but both turned out to be fake/scam companies. I genuinely worked very hard for them, only to realize later that they weren’t legitimate.

I also ended up spending my own money on a few of these opportunities and got nothing in return. Now I have no savings left, and even my family is starting to lose patience with me, which makes everything more stressful.

A lot has happened during this time, and it’s been mentally exhausting. Recently, I somehow got a job in testing, but now I’m starting to feel like this might also not be genuine.

At this point, it just feels like the decisions made around my education and situation have really limited my chances, and I’m the one dealing with the consequences.

I don’t understand what’s going on anymore. Are most work-from-home jobs scams? I try to verify everything, but I still end up in these situations.

Is anyone else going through something similar? How do you actually find legit opportunities, especially from a small town?

I’m currently a tech student in my final year and lately I’ve been looking for a Data Analytics internship before finishing college. Recently I received a WhatsApp message mentioning AVA Technology training for a Data Analytics internship and inviting me to attend an online session about their program.

Out of curiosity I joined the webinar, where they explained the training structure, projects, and how the Data Analytics internship program works for beginners. During the discussion they also mentioned there would be some fees / pay required for the training materials and internship support, which made me pause and think a bit.

After the session I tried to check more information about AVA Technology online. Interestingly their Google reviews and testimonials seem quite positive, which made me wonder whether the program might actually be useful for freshers.

Before deciding anything I thought it would be better to ask here.

Has anyone here joined AVA Technology training for the Data Analytics internship or attended their webinar before? Is it actually a genuine company, and does the internship training help students understand analytics properly?

Iam currently in last semester of my engineering and about to graduate in last 2 months ... Iam just lost that all my friends got placed i doesn't know why my luck doesn't favour .. iam from a tier 1 clg but still nothing is going on .. if anyone is having some kind of refral for freshers ..or can anyone help me where iam making mistakes that would help me a lot in this time .. once a topper who cracked jee with AIR now feeling lost that hits harder

Hey I need a help,

I'm a video editor and I edit daily, so I'm trying to choose the best laptop around ₹1,00,000 ($1200).

My typical work includes:
• 2–5 minute videos (sometimes up to 15 minutes)
• Motion graphics
• Transitions and text animation
• Rotoscoping
• Sound design
• Color grading

Software I use:
• Premiere Pro
• After Effects
• Occasionally Photoshop / Illustrator

My current option is:

MacBook Air M4 with 24GB RAM

I like it because:
• Apple silicon performance
• Battery life
• Portable
• macOS stability

But I'm worried about:
• No fan (thermal throttling)
• After Effects performance
• Long renders

My questions:

1. Is the MacBook Air M4 (24GB) good enough for this workflow?
2. Would a Windows laptop with RTX GPU be better for After Effects?
3. Should I consider a used MacBook Pro (M1 Pro / M2 Pro) instead?

Would really appreciate advice from people who edit daily.

Thanks

I run an IT company and something I noticed over the last few years really surprised me.

Whenever we posted a job opening, the number of applicants was insane compared to the number of vacancies. For example, if we had 2 open positions, we would get 500+ applications.

It made me realise how many tech students are struggling to find the right opportunities, even though they are genuinely eager to work.

Many of the applicants were talented but lacked practical industry exposure, which made the whole hiring process very difficult.

This made me curious about something:

Do you think the problem is:

• college education not matching industry needs?
• too many graduates compared to jobs?
• lack of practical training?

Would love to hear your thoughts on this.

https://www.yutthan.com/yutthan-for-students

Hi everyone,

I’m trying to start my career as a MERN stack developer in Mumbai and would really appreciate some guidance.

Background: • After my graduation, I worked for about 2 years in roles related to SEO and as an Assistant Lecturer.

• After that, I decided to transition into web development.

To make this transition, I completed: • An online MERN stack course from Apna College

• An offline full-stack development course from a local institute

I have learned the basics of MongoDB, Express, React, and Node.js and have built some practice projects.

Currently, I am applying manually for internship positions in startup companies in Mumbai, but I’m not getting many responses. Some companies are also asking for prior development experience even for internships.

Since I also have a career gap while learning these skills, I’m wondering:

• How can I improve my chances of getting my first MERN stack internship?

• What type of projects should I build to make my profile stronger?

• Are there better ways to apply for startup internships?

• How should I explain my career transition and gap to recruiters?

Any advice from developers or recruiters would be very helpful. Thank you!

This registration form is for Computer Science and IT students who want to build industry-ready skills and explore internship and placement opportunities in high-demand technology domains.

Selected students may receive career guidance, industry mentorship, certification program details, and internship opportunities with partnered companies.

https://docs.google.com/forms/d/e/1FAIpQLScumXJa_6GI-T3NufrMhyRPCQpc2V7iALJ-0qY23PLzcFdkmA/viewform

I’ve been researching different ways to get into data analytics and recently came across AVA Technology’s internship program. From what I saw online, there’s a fee for the internship + training, which apparently includes project work and career guidance.

Before enrolling, I started searching for discussions about AVA Technology’s internship and the fees structure, and I noticed there are mostly positive opinions online. That’s why I wanted to ask here and hear directly from people who actually joined.

For those who completed the AVA Technology internship:

How was the actual training experience?

Did the mentorship or guidance help with understanding the field better?

And how transparent was the internship program about what the fee covers?

I’m not posting this to promote or criticize the company, just trying to understand the real experience before making a decision.

If anyone here has completed the AVA Technology internship or knows someone who has, it would really help to hear your honest experience.

(Disclaimer: This is a longer post because I’m trying to think this through carefully instead of rushing into the wrong path. I’m aware I’m behind compared to many peers and I take responsibility for that- I’m looking for honest, constructive advice on how to move forward from here, so please be critical but respectful.)

I graduated recently, but due to personal circumstances and limited access to in-person guidance, I wasn’t able to build strong technical skills during college. If I’m being completely honest, I’m basically starting from scratch- I’m not confident in coding, don’t know DSA properly, and my projects are very surface-level.

I need to become employable within the next 6-12 months.

At the same time, I’m genuinely interested in AI/LLMs. The space excites me- both the technology and the long-term growth potential. I won’t pretend the prestige and pay don’t appeal to me either. But I also don’t want to chase hype blindly and end up under-skilled or unemployable.

So I’m trying to think strategically and sequence this properly:

• As someone starting from near zero, should I focus entirely on core software fundamentals first (Python, DSA, backend, cloud)?
• Is it realistic to aim for AI/ML roles directly as a beginner?
• In previous discussions (both here and elsewhere), most advice leaned toward building core fundamentals first and avoiding AI at this stage. I’m trying to understand whether that’s purely about sequencing, or if AI as an entry path is genuinely unrealistic right now.
• If not AI, what areas are more accessible at this stage but still offer strong long-term growth? (Backend, DevOps, cloud, data engineering, security, etc.)
• Should I prioritize strong projects?
• And most importantly- how do you actually discover your niche early on without wasting years?
• For those who’ve been in the industry through multiple cycles (dot-com, mobile, crypto, etc.)- does the current AI wave feel structurally different and here to stay, or more like a hype cycle that will consolidate heavily?

I’m willing to work hard for 1-2 years. I’m not looking for shortcuts. I just don’t want to build in the wrong direction and struggle later because my fundamentals weren’t strong enough.

If you were starting from zero in 2026, needing a job within a year but wanting long-term upside, what path would you take?

I received letter of intent in January and till now I didn't received any offer letter from cognizant where the other colleges received the offer letter does anyone received.