Tanav Singh Bajaj

Daat Scientist (Credit Risk) and Researcher

Tanav Singh Bajaj is a dedicated Data Scientist with experience in risk modeling, data analysis, and research. Currently at Slice, he works on maintaining and enhancing risk models and applying data-driven insights for business improvements. He has had the opportunity to collaborate with leading institutions like MIT and The University of British Columbia, contributing to research in areas such as metabolomics and large language models. A Kaggle Expert, Tanav enjoys solving complex problems and continuously learning through hands-on projects. With a background in Information Technology from IIIT Bhopal and additional training in data science from IIT Madras, he is always eager to apply his skills to new challenges while staying grounded and focused on continuous growth.

Publications

[1] REAMS: Reasoning Enhanced Algorithm for Maths Solving

Eishkaran Singh, Tanav Singh Bajaj, Siddharth Nayak
Under review AAAI 2025

[2] A Graph Embedding Approach for Deciphering the Longitudinal Associations of Global Mobility and COVID-19 Cases

Raghav Awasthi, Meet Modi, Hardik Dudeja, Tanav Bajaj, Shruti Rastogi, Tavpritesh Sethi

[Pre-Print]  

Teaching

  • IIIT Bhopal: Data Science Mentor, Basics of Machnie Learning
  • Thapar University: Guest Lecturer, Image Pre processing
  • Thapar University: Guest Lecturer, Deep Learning
  • Thapar University: Guest Lecturer, Generative Adversarial Networks
  • Thapar University: Guest Lecturer, Natural Language Processing

Professional Experience

Slice (Fintech)

DS intern - > Data Scientist

Jan 2024 - Present
Incharge of Credit Risk for monthly CLD/CLI and decision making at Acquisitions and Portfolio Level.
Knowledge GraphsCredit RiskData ScienceMachine LearningDeep Learning

HackerEarth

Technical Content Engineer Intern (SQL, DevOps and ML)

June 2022 - December 2022
SQLDevOpsDatabase DesignBash scripting

Applied Analytics

Machine Learning Content Writer

May 2022 - July 2022
Machine LearningDeep LearningContent Writing

Research Experience

University of British Columbia,

Research Intern under Prof (Dr.) Tao Huan

May 2023 - Present
Deep learning for metabolomics data analysis
Image ProcessingChemistry

University of Toronto,

Research Intern under Prof (Dr.) Zahra Shakeri Hossein Abad

May 2023 - Present
Natural Language ProcessingPubloic Health

Indraprastha Institute of Information Technology,

Research Intern under Prof (Dr.) Tavpritesh Sethi

June 2022 - Present
GANsGraph AnalysisCommunity DetectionDockerELK Stack

Indian Institute of Information Technology, Bhopal,

Research Intern under Prof (Dr.) Bhupendra Singh Kirar

November 2022 - Present
Neural NetworksConvolutional Neural NetworksTransfer Learning