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About

Ayush Chaugule

Hey, I'm Ayush - a Data Analyst with a Data Science background from NMIMS Bengaluru. I work with SQL, Python, and statistical modeling, and I've got a real soft spot for financial markets and investing.

01

Skills

Toolkit

Languages & Tools

PythonSQLGitLaTeX

Visualisation

Power BITableau

Data & Statistics

Machine LearningStatistical ModelingData AnalyticsQuantitative Research

Infrastructure

LinuxHadoopApache Pig

Finance & Markets

Financial MarketsInvesting Strategies
02

Experience

Track record
Jan 2026 - Jul 2026

Research Intern

Applied Machine Learning

  • Cleaned and processed medical datasets for downstream modeling
  • Built and trained an XGBoost model on the processed data
  • Designed a pipeline capable of taking raw data through to assisting medical decisions
03

Certificates

Credentials
2026

HackerRank

Certification

  • SQL (Advanced)
2024 - 2025

Bloomberg

Certifications

  • Environmental, Social and Governance (ESG)
  • Bloomberg Market Concepts (BMC)
  • Bloomberg Financial Fundamentals (BFF)
Jan 2024

TVS Motor Company

Certificate of Training & Experience

  • Statistical Process Control (SPC) applications, production dashboard systems for quality and performance monitoring
Dec 2024

IPE Journal of Management

Publication

  • Perception of Students regarding skill development using Artificial Intelligence
04

Education

Foundation

SVKM's Narsee Monjee Institute of Management Studies, Bengaluru

B.Sc. Data Science

2023 - 2026

GPA 3.44 Class Representative x 2 Years
05

Interests

Off the clock

Horology

Watch Collecting

Fan of Japanese mechanical and quartz movements. Special love for field watches, built tough, worn everywhere.

Gaming

Video Games

Simulation and post-apocalyptic worlds. If there's resource management or a destroyed civilisation, I'm in.

Hardware

PC Building

Nothing like putting hardware together and watching it POST for the first time.

Media

Pure Entertainment

Films, shows, crime investigations, vintage classics. The older or grittier, the better.