Siddhartha Banerjee, Ph.D.

CTO

Singapore, Singapore16 yrs 2 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Over a decade of experience in Data Science and AI.
Led high-impact teams at major tech companies.
Published extensively in top-tier AI and NLP venues.

Stackforce AI infers this person is a Data Science and AI expert with a focus on E-commerce and Technology sectors.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningData ScienceMentorshipNatural Language Processing (nlp)Data AnalysisForecasting

Other Skills

Natural Language ProcessingGenerative AIAI AgentsGenerative AI ToolsPeople ManagementQuantitative ResearchStatisticsMathematical ModelingDemand ForecastingData MiningJavaSQLOracle SQL DeveloperWekaPerl

About

* Decade plus experience in Data/AI/Machine learning * Leading high-impact data science teams * Ex-Yahoo, IBM, Traveloka * Ph.D. from The Pennsylvania State University, Pennsylvania, USA: ML, NLP, Text Summarization and Document Classification. Thesis advisor: Prof. Prasenjit Mitra. * Opinions are my own: https://www.linkedin.com/pulse/x-years-phd-should-count-work-experience-siddhartha-banerjee/ * Undergraduate degree from Indian Institute of Technology (IIT), Kharagpur. Industrial Engineering major. * Publications at top venues: ACL, IJCAI, WWW, etc. ~ 600+ citations (https://scholar.google.com/citations?user=69fATowAAAAJ&hl=en) * 2 US patents For more details on my publications and my blog-posts, refer to: https://www.siddbanerjee.com/

Experience

16 yrs 2 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 mo

Current Experience

Nvidia

Senior Cloud AI Technologist

Mar 2026 – Present · 1 mo · Singapore · Hybrid

Zendesk

AI Engineering Senior EM

Sep 2024 – Mar 2026 · 1 yr 6 mos · Singapore · Hybrid

1. AI for Agent productivity
2. Anomaly detection
3. Reporting insights and trending content

Artificial Intelligence (AI)Machine Learning

Carousell group

Data Science, AI & Machine Learning Leader

Jun 2020 – Aug 2024 · 4 yrs 2 mos · Singapore

Leading Data science strategy and initiatives for Carousell in the following areas:
1. Marketplace quality/Trust and Safety
2. Machine learning for customer service automation and other operational efficiency initiatives.
3. Personalization for product recommendations.
4. Zero-shot classification of listings to new categories across markets.
5. Contextual ads
6. Pricing intelligence + Product understanding
7. Generative AI and LLMs

Data ScienceMachine Learning

Bangkit academy led by google, tokopedia, gojek, & traveloka

Advisor Bangkit ML program

Feb 2020 – Sep 2023 · 3 yrs 7 mos

Mentored multiple university students on AI projects

MentorshipMachine Learning

Traveloka

Principal Data Scientist

Jan 2019 – Jan 2020 · 1 yr · Singapore

NLP for Universal search. Building tech for the following:
1. Realtime Query Auto Correction
2. Entity Recognition (NER) for low-resource languages
3. Contextual Query Expansion and Personalized Ranking
4. Automatic Question answering and information extraction.

Natural Language Processing (NLP)Machine Learning

Yahoo

Research Scientist, Content Science

May 2016 – Jul 2019 · 3 yrs 2 mos · United States

1. Relationship extraction using distant supervised noisy labelling and deep learning for question answering.
2. Building content classification pipeline for easy data ingestion, model training and evaluation. Transfer learning for multi-label text classification.
3. Entity linking: Disambiguating entity mentions in text to Wikipedia entities.
4. Clickbait Classification
and many other AI/NLP problems.

Natural Language Processing (NLP)Machine Learning

Penn state university

NLP Researcher

Aug 2012 – Dec 2016 · 4 yrs 4 mos · State College, Pennsylvania, United States

Research on NLP techniques for Automatic Text Summarization

Natural Language Processing (NLP)Machine Learning

Oracle retail

Senior Consultant

Jan 2011 – Jan 2012 · 1 yr

Oracle works with retailers of all sizes to redesign the customer experience, reinvigorate operational excellence and reimagine growth. Only Oracle allows retailers to create a unified view of information that delivers economic value to the whole business, from in-store operations to corporate strategy to supply chain and logistical management.
I Worked as a consultant for the Oracle Markdown Optimization product that helped retail giants reduce risk of loss and predict optimal markdowns - when to take a price cut and how much to cut.

Data AnalysisForecasting