From campus to career.
Learn from people working in consulting, banking, analytics and public statistics. Prove what you can do in regular assessments. Top performers earn recommendation letters, mock interviews and internship opportunities.
Your college doesn't decide your opportunities here. Your performance does.
To enrol, complete both steps: sign up with the Google form, then pay the enrolment fee.
How bank treasury desks trade the bond–OIS spread
Before the workshop, watch this short case study. It shows how front-office treasury desks at Indian banks trade the spread between Government bonds and OIS. It explains bonds and yields, OIS swaps, PV01, how a spread trade is built, and how its P&L behaves, step by step.
The paid workshop is led by Ratan Kirti, the author of the case study, who brings hands-on experience in treasury markets. Seats are limited.
The student journey
A merit engine, not another seminar series.
Industry exposure → proof of ability → career opportunity. You leave with evidence of what you can do, not just a degree.
Learn
Quarterly sessions with professionals working in consulting, banking, analytics and public statistics.
Prove
Assessments after every seminar turn what you learned into evidence.
Stand out
Consistent performance across the year builds your merit record.
Advance
Recommendation support for higher studies abroad.
Work
Placement and internship support in India.
The experts
The people you'll learn from
Professionals from McKinsey, QuantumBlack, J.P. Morgan, the Indian Statistical Service and more. Each one takes part according to their availability, so the line-up changes from seminar to seminar and is announced before each session. Tap any card to see their LinkedIn profile.
Programme & workshop lead
Industry expert panel
Shubhangi Khandelwal
Data Science Specialist · McKinsey & Company
IIT Bombay · M.S. Applied Statistics & Informatics
Data science, AI, analytics, statistical modelling
Vinit Gupta
Senior Data Scientist II · QuantumBlack, McKinsey
IIT Bombay · M.S. Applied Statistics & Informatics
Data science, AI, financial modelling, analytics
Devesh Agrawal
Data Scientist · J.P. Morgan Chase & Co.
IIT Bombay · M.S. Applied Statistics
Predictive modelling, AI, NLP, customer analytics
Shravana Kumar Yadav
Assistant Director · National Sample Survey Office · Indian Statistical Service
IIT Bombay · M.Sc. Applied Statistics & Informatics
Statistics, ML, time series, Python, Azure
Jasandeep Singh
Co-Founder & CEO · EduSahaj.AI
IIT Bombay, Statistics · 7 years in consulting
Core data science, applied statistics, optimisation
Juhi Gupta
Industry expert
View profile on LinkedIn
Anuj Niranjan
Industry expert
View profile on LinkedIn
Sudipto Mondal
Industry expert
View profile on LinkedIn
Abhishek Mishra
Industry expert
View profile on LinkedIn
Nilanjan Saha
Industry expert
View profile on LinkedIn
The programme
Four quarters. One continuous merit record.
Each quarter has an industry seminar followed by an assessment. Your record builds across the year, so steady effort counts for more than one good day.
Industry seminar
Frontier skills and a real industry perspective
Assessment
Show what you absorbed
Industry seminar
A new domain, a new leader, a new problem set
Assessment
Consistency counts, not one-off scores
Industry seminar
Advanced industry casework
Assessment
Standout students are shortlisted
Industry seminar
Careers and higher studies
Assessment
Final assessment builds the annual merit cohort
What you'll train on
Industry case studies
Work through real cases the way practitioners do: structure the problem, make assumptions explicit, defend a recommendation.
Interview preparation
The questions actually asked, and what a strong answer looks like, from people who sit on the other side of the table.
Communication
Explain difficult ideas simply and confidently. It's often the skill that separates good candidates from selected ones.
Mock interviews
Students in the top 5% get a one-on-one mock interview with an industry professional, with written feedback.
Eligibility & outcomes
Clear eligibility. Measurable rewards.
Every participant
All enrolled students
- Case studies in consulting, finance, coding and engineering
- Interview question patterns and answer frameworks
- Communication and idea-explanation training
- A performance record across four assessments
Top 5%
Top 5 percentile and at least 50% marks
- Recommendation letter from participating industry professionals
- One-on-one mock interview with individual feedback
Top 10
Highest performers in the merit cohort
- 3-month internship opportunity
- Hands-on exposure to real industry work
To get a recommendation letter, you must rank in the top 5 percentile of the cumulative assessment score and clear the 50% minimum mark. Letters are earned on performance, never on attendance alone.
How to enrol
Two steps. Both are required.
Sign up with the Google form
Tell us your name, university and contact details. This is how we register you and send session updates.
Open the sign-up form 2Complete your enrolment payment
Pay securely through Razorpay to confirm your seat. Seats are limited, so we encourage you to enrol early.
Enrol nowQuestions
Who can join?+
Students from any college or university can join, in any year and from any discipline. You don't need to be enrolled at a partner institution.
How do I enrol?+
Two steps. First, sign up by filling in the Google form. Then complete the enrolment payment. You need to do both. The form is how we know who you are and how to reach you.
Will every expert teach every session?+
No. Experts take part according to their availability, and each seminar is led by whoever is available that quarter. We announce the line-up before each session.
How are recommendation letters decided?+
Only on performance. You need to rank in the top 5 percentile of the cumulative assessment score and also clear the 50% minimum mark. Attendance alone never earns a letter.
I have a question that isn't answered here.+
Email connect@edusahaj.ai and we'll get back to you.
Know what industry expects, before you graduate.
Open to students from every university. Seats are limited.
