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Ayush Chaugule

I spend most of my time staring at data, questioning my assumptions, and occasionally being right. I like building things that work, breaking things to understand them, and writing code that I won't regret in the morning.

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01

Skills

Languages
Python SQL Git LaTeX
Visualisation
Power BI Tableau
Infrastructure
Linux Hadoop Apache Pig
Data Science
Machine Learning Data Analytics Statistical Modeling Quantitative Research
Finance
Financial Markets Investing Strategies
02

Projects

01

Differential Equation Framework for Smarter CNNs

Enhanced ResNet-18 with PDE-inspired DiffuNet for improved CIFAR-10 accuracy, feature smoothness, and noise robustness.

Python CNN PDE
↗ 02

Generating Alpha with Multihorizon Forecasting

Multi-horizon forecasting framework using regression models to generate systematic long–short trading signals for Index returns.

Python Regression Time Series Finance
↗ 03

CSV-Based AI Assistant

Streamlit AI assistant with PandasAI for interactive, natural-language CSV data analysis and visualization.

PandasAI Python Streamlit
↗
03

Experience

Dec 2024

IPE Journal of Management

Publication

  • Perception of Students regarding skill development using Artificial Intelligence
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
04

Education

SVKM's Narsee Monjee Institute of Management Studies, Bengaluru

BSc Data Science

2023 – 2026

GPA 3.44 Class Representative × 2 Years
05

Interests

01

Horology

Watch Collecting

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

02

Gaming

Video Games

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

03

Hardware

PC Building

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

04

Media

Pure Entertainment

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

06

Contact

Open to opportunities, collaborations, or a good conversation about data and markets.