Principal Data Scientist, Delivery Hero SE
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Bio

Raghav Bali is a Data Scientist at Delivery Hero, one of the world’s leading food delivery platforms, based in Berlin, Germany. With over a decade of experience, he focuses on researching and building enterprise-grade solutions using Machine Learning, Deep Learning, and Natural Language Processing for real-world challenges. Raghav has published several peer-reviewed papers, authored more than seven books, and co-invented multiple patents in the fields of machine learning, deep learning, and NLP.

Before joining Delivery Hero, he worked at United Health Group (Optum) where he researched and developed a number of cutting edge solutions for the US healthcare sector. At Intel, he helped drive data-first IT initiatives using NLP, deep learning, and traditional statistical techniques. Earlier, at American Express, he tackled customer retention and digital engagement problems in the finance domain.

Delivery Hero
2022 - Present
Optum
2017 - 2022
Intel
2015 - 2017
American Express
2014 - 2015

During his Master’s, Raghav took on exciting courses like Machine Learning, Software Architecture, Advanced Algorithms, and Operating Systems. He also worked on large-scale projects such as a Language Recognizer for Indian Languages, Hierarchical Document Clustering System, Bitcoin-based Cloud Provisioning Platform and more.

Outside of work, he’s a tech enthusiast who enjoys exploring new gadgets and ideas. He’s also a passionate photographer—check out his work on Instagram and VSCO.

Occassional Blog Posts

Papers

Delivery Hero Recommendation Dataset: A Novel Dataset for Benchmarking Recommendation Algorithms

ACM Recsys 2023
Yernat Assylbekov, Raghav Bali, Luke Bovard and Christian Klaue.
Published Version

Easter2.0: Improving Convolutional Models for Handwritten Text Recognition

Kartik Chaudhary and Raghav Bali
Preprint Paper

EASTER: Simplifying Text Recognition using only 1D Convolutions

CAIAC 2021
Kartik Chaudhary and Raghav Bali
Preprint Paper Published Version

A Simple and Interpretable Predictive Model for Healthcare

CAIAC 2021
Subhadip Maji, Raghav Bali, Sree Harsha Ankem and Kishore V Ayyadevara
Preprint Paper Published Version

An Interpretable Deep Learning System for Automatically Scoring Request for Proposals

IEEE SSCI 2021
Subhadip Maji, Anudeeo S Appe, Raghav Bali, Veera R Chikka, Arijit G Chowdhury, Vamsi M Bhandaru
Preprint Paper Published Version

Exclusion and Inclusion--A model agnostic approach to feature importance in DNNs

IEEE ICTAI 2021
Subhadip Maji, Arijit Ghosh Chowdhury, Raghav Bali, Vamsi M Bhandaru
Preprint Paper Published Version

Real Time Failure Prediction of Load Balancers and Firewalls

Tamoghna Ghosh, Dipanjan Sarkar, Tushar Sharma, Ashok Desai, Raghav Bali
IEEE Smart Data (SmartData) 2016
Published Version

Books

Generative AI with Python and PyTorch

Github

Generative AI with Python and TensorFlow 2

Github

Hands-On Transfer Learning with Python

Github

Practical Machine Learning with Python

Github

R: Unleash Machine Learning Techniques

R: Complete Machine Learning Solutions

Learning Social Media Analytics with R

Github

R Machine Learning by Example

Github

Free eBook: What You Need To Know About R

Books Reviewed

Deep Learning with TensorFlow and Keras By Antonio Gulli et. al. - Third Edition
Python Machine Learning By Example By Yuxi (Hayden) Liu - Third Edition
Python Machine Learning By Sebastian Raschka - 3rd Edition
Machine Learning with R by Brett Lantz - 3rd Edition

Patents

Cybersecurity for sensitive-information utterances in interactive voice sessions

US11854553B2
Devikiran Ramadas;Gregory J Boss;Ninad Sathaye;Raghav Bali;Nitin Dwivedi
Granted

Machine learning techniques for natural language processing using predictive entity scoring

US11853700B1
Nathan H. Funk;Eric D. Tryon;Amy L. Jensen;Sudheer Ponnala;M. P. S. Jagannadha Rao;Raghav Bali;Veera Raghavendra Chikka;Subhadip Maji;Anudeep Srivatsav Appe
Granted

Dynamic triggering of augmented reality assistance mode functionalities

US11663790B2
Kartik Chaudhary;Sudeep Choudhary;Raghav Bali;Anurag Das;Subhadip Maji
Granted

Weighted adaptive filtering based loss function to predict the first occurrence of multiple events in a single shot

US11741381B2
V Kishore Ayyadevara;Sree Harsha Ankem;Raghav Bali;Rohan Khilnani;Vineet Shukla;Saikumar Chintareddy;Ranraj Rana Singh
Granted

Sentiment progression analysis

US11256874B2
Ninad D. Sathaye;Raghav Bali;Piyush Gupta;Krishnamohan Nandiraju
Granted

Cybersecurity for sensitive-information utterances in interactive voice sessions using risk profiles

US20220199073A1
Devikiran Ramadas;Gregory J Boss;Ninad Sathaye;Raghav Bali;Nitin Dwivedi
Pending

Routing of sensitive-information utterances through secure channels in interactive voice sessions

US20230269291A1
Devikiran Ramadas;Ninad D. Sathaye;Gregory J. Boss;Raghav Bali
Pending

Systems and methods for awakening a user based on sleep cycle

US20230059947A1
Raghav Bali;Ninad D. Sathaye;Swapna Sourav Rout
Pending

Reinforcement learning machine learning models for intervention recommendation

US20230252338A1
V. Kishore Ayyadevara;Rohan Khilnani;Swaroop S. Shekar;Raghav Bali;Joseph C. Cremaldi;Fritz T. Wilhelm;Vinod Burugupalli
Pending

Predictive document conversion

US20210326631A1
Kartik Chaudhary;Raghav Bali;V Kishore Ayyadevara;Yerraguntla Yeshwanth Reddy
Pending

Predictive data analysis operations using a hierarchical intervention recommendation machine learning framework

US20230325690A1
Ninad D. Sathaye;Manoj Kapoor;Gregory J. Boss;Raghav Bali
Pending

Talks

2024
2023
2022
2021
2020
2019
2018

Articles