Akash Gupta

Data Scientist

Bengaluru, Karnataka, India3 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Boosted NER accuracy from 87% to 94% in financial tables.
Developed a RAG pipeline for complex data extraction.
Created a parallelized system for rapid data point extraction.

Stackforce AI infers this person is a Fintech-focused Data Scientist with strong NLP and data extraction expertise.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Data ExtractionSoftware Development

Other Skills

AI AgentsAIMLAPI DevelopmentAlgorithmsAmazon Web Services (AWS)Analytical SkillsApplied ResearchArtificial Intelligence (AI)Attention to DetailBERT (Language Model)C++Cascading Style Sheets (CSS)Chatbot DevelopmentCode ReviewCommunication

Experience

3 yrs 5 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 3 mos

Current Experience

Gomarble

Data Scientist

Mar 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Alphastream.ai

MTS1 NLP Developer

Jun 2023 – Mar 2025 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

Improved NER classification for financial tables using BAAI/bge-large-en model, boosting accuracy from 87% to 94%.
Developed a RAG pipeline for extracting 50 complex data points with 80% accuracy from 300+ page credit agreement documents, using Elastic Search, Llama Index, and Qwen1.5-72B model.
Implemented and evaluated various ranking profiles, including hybrid profiles, using Vespa.
Created a parallelized system to extract 500 data points in 1.5 minutes from private company profiles.
Built a RAG system to extract direct and calculated data points from financial documents, handling currency and quantum.

Natural Language Processing (NLP)Named Entity Recognition (NER)Data ExtractionElastic SearchLlama IndexQwen1.5-72B model+1

Bytelearn.com

Software Engineer Intern

Jul 2022 – Dec 2022 · 5 mos · Noida, Uttar Pradesh, India · Remote

Worked with solver team: Assisted in creating and debugging 10+ problem templates for student-chatbot interaction .
Developed Python scripts for the chatbot utilising the Low Code Platform, Python, JSON, and Jinja. Used Postman to
generate Chatbot Payload after implementing solution code for various problem categories

PythonJSONJinjaSoftware Development