Siva Chandrasekhar

S

Aspiring data scientist · NIT Surathkal · model governance, SQL

Infosys
Bengaluru, India · IST (UTC+5:30)
1+ years experience
NIT Surathkal
English, Hindi, Kannada
Messaging unavailable

Overview

Final-year student interested in machine learning. Recently built a bus-tracking tool for the city. Interned at Infosys last summer. Comfortable with SQL and Python. Former debater; now I argue with spreadsheets.

Good reasons to reach out
  • Roles in credit risk modelling
  • Mentors who have done this before
  • Thoughtful intros to people in my field
Please don't message about
  • Agency or outsourcing pitches
  • Generic networking requests
  • Data broker offers

Usually replies within a day

Skills
model governanceXGBoostPythonSQLsurvival analysis
LearningLearning something
closes in 3 months

Looking for feedback on my pitch deck from someone in wealth management

Goal
Move from individual contributor to leading a small risk team.
Where I am now
Some experience
Ideal mentor
Someone who has worked in credit risk modelling for a few years
Cadence
Monthly
What I can offer back
Introductions in my college network

Working on a carbon footprint calculator for small shops. An hour a month would make a big difference.

Bengaluru, India · remote OKmodel governancepythonxgboost
Open to workLooking for a role
closes in 3 months

First full-time role in growth marketing, starting 2027

Target roles
Credit risk modelling
Level
Entry
Industries
Consumer apps, Healthtech
Work mode
Remote
Available
From next quarter
Work authorization
Indian citizen, open to relocating
What I'm looking for
A team that ships weekly and owns risk end to end.
Not interested in
Crypto

Built a campus food-ordering app. Comfortable with XGBoost and SQL. Graduating 2026.

Bengaluru, Indiaxgboostpythonsql

Experience

  1. Data Science Intern
    May 2026 - Aug 2026
    Infosys · 3 mo · Internship · Bengaluru, India
    • Took the risk models through 2 regulatory model reviews.
    • Built the scorecard that lifted approval rates by 7% at flat losses.

Projects

Conference talk: lessons from risk
2026

What went wrong and what worked while scaling credit risk modelling.

References

No references yet.

Education

  1. NIT Surathkal
    B.Tech, Mathematics
    2024 - 2028

Details

Compensation expectations
What they are targeting for their next role.
Visible to connections
Direct contact details
Direct email and a scheduling link.
Visible to connections

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