Shivam Chadha

Associate Data Scientist, QuantumStreet AI

f20190704 [AT] goa.bits-pilani.ac.in

Bio

Hi! I'm Shivam, a recent graduate from BITS Pilani, Goa, with an M.Sc. in Mathematics and a B.E. in Electronics & Communication. I am into machine learning, deep learning, and programming.

I am currently an Associate Data Scientist at QuantumStreet AI, where I build machine learning solutions for financial data. Previously, I worked at Wadhwani AI, where I focused on Deep Feature Synthesis and its applications. I also gained experience as an SDE intern at Amazon and as a research collaborator at NTU Singapore. Through these roles, I have developed strong skills in Machine Learning and Programming.

My Work

I am passionate about learning and constantly seeking new challenges. My interests lie in Theoretical Deep Learning, Classical Machine Learning, and Applied Machine Learning for scientific research. If you're working on something interesting, please reach out to me. I'm always eager to collaborate and contribute, whether it's on theoretical/conceptual work or practical implementation. I'm enthusiastic about learning from new experiences and projects.

Currently, I'm learning about LLMs and trying to implement a few things. I'm also planning to pick up RL once I get time.

Publications

A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns

Rajamanickam Yuvaraj, Shivam Chadha, et al.

Algorithms (MDPI)

Paper

A Chaos-Causality Approach to Principled Pruning of Dense Neural Networks

Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha

Chaos Theory and Applications (CHTA)

Paper

A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns

Rajamanickam Yuvaraj, Shivam Chadha, et al.

Algorithms (MDPI)

Paper

A Chaos-Causality Approach to Principled Pruning of Dense Neural Networks

Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha

Chaos Theory and Applications (CHTA)

Paper

Projects

[R] is for Reproduction

FIN-Agent
AI financial analyst for Indian companies
To Prune or Not Prune
A Chaos-Casuality Based Neural Network Pruning
CHAOSNET[R]
Alternative Feed-Forward Chaos-based Neural Network
CNNs-First-Layer[R]
Studying What CNNs Learn in the First Layer
Segmentation Using DMD
DMD For Video Background/Foreground Separation
FIN-Agent
AI financial analyst for Indian companies
To Prune or Not Prune
A Chaos-Casuality Based Neural Network Pruning
ASR USING WHISPER
Medical Symptom Prediction
CHAOSNET[R]
Alternative Feed-Forward Chaos-based Neural Network
CNNs-First-Layer[R]
Studying What CNNs Learn in the First Layer
Segmentation Using DMD
DMD For Video Background/Foreground Separation
COVID-19 CASES PREDICTOR
Time Series Analysis of deaths due to Covid

Vitæ

Here's my CV.

  • QuantumStreet AI Jul 2024 - now
    Associate Data Scientist
  • Wadhwani AI Jan - Jul 2024
    ML Intern
  • Amazon Aug - Dec 2023
    SDE Intern
  • NTU 2021-2023
    Undergraduate Researcher
  • Hertztech Solutions Pvt. Ltd. Jun - Jul 2021
    Intern
  • BITS Pilani, Goa Campus Aug 2019 – July 2024
    B.E and M.Sc. Student
    M.Sc. Mathematics
    B.E Electronics and Communications Engineering

Website Design

I built this website using Martin Saveski's template, you can find it here - GitHub repo.
Thanks Martin!
Shivam Chadha
f20190704 [AT] goa.bits-pilani.ac.in