Scaler Reviews: Real Career Stories From Women in Tech
If only choosing a course were as simple as going through the curriculum. But with today's job market changing so quickly, it's becoming harder to tell what will actually work for you. As you go through hundreds of brochures, you're probably also wondering what the learning environment will be like, whether people with career breaks are able to restart, and if other women have made the same decision before you. We understand these concerns, and if you're considering Scaler, we have a few stories we'd like to share.
We've brought together four stories from women who took different paths into tech, built new skills, and shared what the experience was like in their own words. If you find yourself relating to any of them, you can follow the links, check their profiles, and learn more about their journeys.
Four Starting Points
The women you'll meet here didn't all start in tech. Some switched careers, some came back after a break, and others were already exploring different paths before they decided to upskill. You might even find one that feels a lot like your own starting point. No matter where you're starting from, there's a good chance you'll find someone whose journey feels familiar. And because every story comes from a public post or profile, you can always read more and verify it for yourself.
Build an AI-First Career, Master the Complete Skillset
Choose from our industry-leading programs designed for career success
Modern Software and AI Engineering Program
Master full-stack development with AI integration
+1000 moreModern Data Science and ML with specialisation in AI
Advanced data science techniques with AI specialization
+1000 moreAdvanced AIML with Specialisation in Agentic AI
Deep dive into AIML with focus on Agentic systems
+1000 moreDevOps, Cloud & AI Platform Engineering
Build and manage AI-powered cloud infrastructure
+1000 moreAI Engineering Advanced Certification by IIT-Roorkee
Premier AI engineering certification from IIT-Roorkee
AI Forward Deployed Engineer Program
Full-stack engineering, production AI and client-facing consulting
+1000 more1. Mohana Mukherjee: Healthcare to Data Science & Machine Learning
If you've ever looked at a tech role and wondered whether it's possible to start from scratch, Mohana's journey might feel familiar. Coming from a healthcare background with no prior technical experience, she chose to step into a field where almost everything from programming concepts to debugging code was new. Like many career transitions, the process wasn't about learning everything overnight. It was about staying consistent through the challenging early stages, gradually building confidence, and adding one skill at a time.
In her LinkedIn post, Mohana reflects on what those first few months were really like. Alongside managing work, she spent time learning programming fundamentals, working through debugging challenges, and steadily expanding her technical skills. Over time, she gained hands-on experience with Python, SQL, Tableau, machine learning, computer vision, and natural language processing. Her learning journey eventually led to internships at BizTech Analytics and EtharaAI, where she had the opportunity to apply those skills to real-world projects and see how they translated beyond the classroom.
Here’s what she had to say:
"Coming from a completely non-technical background in healthcare... The initial months were tough—grappling with programming concepts, debugging errors, and balancing learning with work."
"Scaler connected me with brilliant peers and mentors who helped me understand industry expectations. A special mention to Amit Singh and Shivam Prasad, whose support and insights were invaluable throughout this journey."
"This journey has already opened doors: I bagged internships with BizTech Analytics and EtharaAI..."
Read More at: Mohana Mukherjee’s LinkedIn Post
2. Swati Singh: UPSC Preparation to Business Analyst
Not every career transition begins because someone wants a change. Sometimes, it begins when life takes you in a different direction than you had planned. If you've spent months or even years preparing for a competitive exam, the thought of starting over can make anyone feel overwhelmed. It's natural to wonder whether all that time and effort will still count for something.
Swati's journey speaks to that experience. Before joining Hoi (Pax Innovation ICT Services Pvt. Ltd.) as a Business Analyst, she had been preparing for the UPSC examination. In her LinkedIn post, she reflects on what it meant to step away from one goal and build confidence in another. Rather than seeing her UPSC journey as time lost, she carried forward the resilience, patience, and discipline it had taught her. She also credits the Scaler community, particularly during the Product Analytics module, for being part of her learning journey as she navigated this transition.
She has mentioned:
"This role marks a transition from my UPSC journey. A journey that taught me resilience, patience, and how to restart… again and again."
"Choosing a different career path wasn't easy. There were doubts, pauses, and moments where starting over felt exhausting."
"I'm deeply grateful to the Scaler community, especially those who've known my journey during the Product Analytics Module — iykyk."
You can also read the whole post at Swati Singh’s LinkedIn Profile
3. Hemangi Chhaya: Data & AI Upskilling to AI Engineer
If you've ever started learning Data Science or AI, you've probably experienced that moment when every new topic seems more complicated than the last. Just when SQL begins to make sense, you're introduced to machine learning. Once you're comfortable there, feature engineering and real-world datasets bring a fresh set of challenges. It can sometimes feel like you're constantly trying to catch up.
Hemangi writes honestly about that part of her learning journey. She talks about gradually becoming better with concepts that once felt overwhelming. Alongside regular classes and assignments, she kept building her skills in Python, SQL, Tableau, machine learning, and deep learning while learning how to apply them beyond theory. That steady progress eventually led to an opportunity with Scaler itself, where she continues to grow in the Data & AI field.
Here’s what she has mentioned:
"From feeling overwhelmed by concepts like SQL optimization, machine learning models, and feature engineering to confidently working on real-world datasets, this journey has been truly transformative for me."
"Balancing assignments, classes, and constant upskilling required discipline, patience, and consistency."
"I'm also excited to share that I've bagged an opportunity with Scaler itself, and I'm looking forward to learning more, pushing my limits, and growing further in the Data & AI field."
Read More at: Hemangi Chhaya’s LinkedIn Post
How Scaler Transformed Careers in Different Fields
Scaler learners achieved 2.5x salary growth with average post-Scaler CTC reaching ₹23L.
4. Suranjana Muduli: Upskilling to Associate Software Developer Intern
Learning to code is often a series of small milestones that don't always feel significant in the moment. One assignment leads to another, one coding problem teaches a new way of thinking, and slowly, concepts that once seemed difficult begin to feel familiar. Looking back, it's usually those small, consistent efforts that make the biggest difference.
And that's something Suranjana talks about. As she worked towards a career in software development, she spent time strengthening her fundamentals through hands-on projects, regular practice, and learning technologies like Python, PostgreSQL, JavaScript, React, HTML, and CSS. Her journey eventually led to an opportunity as an Associate Software Developer Intern at ZeOmega, marking an important step in her career.
She says:
"Solving 800+ problems throughout this journey played a huge role in improving my logical thinking, consistency, and confidence in tackling coding challenges."
"I'm happy to share that I've joined ZeOmega as an Associate Software Developer Intern. This opportunity means a lot to me and marks an important step in my learning and professional journey."
You can read more at: Surajana Muduli’s LinkedIn Post.
The Honest Number
By now, you may have another question: How many women are actually part of Scaler?
According to Scaler's audited Placement Report for 2024 - 25, 18% of the audited learner cohort is female. While women don't yet make up the majority of the cohort, it is still a growing community of learners entering technology through different routes and at different stages of their careers.
That's also why there isn't a single story that represents every woman's experience. As you've seen throughout this article, some learners joined from non-technical backgrounds, some changed careers after years in a different field, while others chose to upskill to prepare for more specialised roles in technology. Their goals, starting points, and learning journeys are all different, even though they're part of the same cohort.
The statistic offers a snapshot of the learner community. The stories behind it help explain what that community looks like beyond the numbers.
Ready to explore your next step? Check out: Data Science & ML Course with AI Specialization
Turn Learning into Career Growth
Restart Questions, Answered
If you're considering a career switch or planning a return to work, these are some of the questions that usually come up before you make a decision.
Is Scaler suitable if you're returning to work after a career break?
Yes. The program is designed to be flexible enough for working professionals. Recorded classes let you catch up if you miss a live session, and mentor sessions can be scheduled around your availability.
Can women from non-tech backgrounds switch to tech through Scaler?
Yes. The stories featured in this article include women from different educational and professional backgrounds, showing that there isn't a single path into tech. What matters more is building the right skills consistently.
What percentage of Scaler learners are women?
According to Scaler's audited 2024 - 25 Placement Report, 18% of the audited learner cohort is female.