Abhishek Mishra
Data Science Manager
New Delhi, Delhi, India
Summary
👤
Senior🎓
Top SchoolAbhishek Mishra is a Data Science Manager based in New Delhi with over a decade of experience applying ML, AI and statistical modeling across finance, travel and hospitality. He builds and leads cross-regional teams to design and deliver production-grade data and advanced analytics solutions, and currently shapes AI innovation strategy at Collinson. His background includes principal data science roles at IHS Markit—where he delivered ML-driven trading strategies, NLP case-routing in six languages, and computer-vision trade processing—and a year as Senior Data Scientist at OCBC. Hands-on with transformer models, he maintains practical tutorials for fine-tuning BERT and DistilBERT on NER, classification and summarization, reflecting a strong applied NLP focus. Comfortable moving projects from pre-sales to cloud production, he blends domain fluency in OTC markets with deep technical execution. Outside work he’s an avid manga reader and experimental home cook, a detail that underscores his curiosity and disciplined habit-building.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Maharahja Surajmal Institute Of TechnologyKendriya Vidyalaya Sangathan
Stackoverflow
85reputation
6kreached
1answer
4questions
Github Skills (16)
transformers10
distilbert10
pytorch10
nlp10
named-entity-recognition10
deep-learning10
bert10
classification10
summarization9
huggingface-transformers6
bot-framework6
markup6
microsoft-teams6
tflearn6
python6
Programming languages (3)
Github contributions (5)
abhimishra91/transformers-tutorials
May 2020 - Sep 2020
Github repo with tutorials to fine tune transformers for diff NLP tasks
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 48 commits, 9 PRs in 4 months
Contributions summary:Abhishek appears to be fine-tuning transformer models for various Natural Language Processing (NLP) tasks, as evidenced by the updates to multiple Jupyter notebooks. The contributions include code modifications within notebooks related to multi-class and multi-label text classification, named entity recognition (NER), and summarization. The user is working with various transformer models like DistilBERT and BERT, demonstrating expertise in model fine-tuning for different NLP problems.
nlpdistilberttransformersbertnlp-tasks
abhimishra91/insight
Jul 2020 - Jun 2021
Repository for Project Insight: NLP as a Service
Contributions:124 commits, 4 PRs, 27 pushes in 11 months
nlpas-a-servicetransformerhuggingfacekorean-nlp
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