S

Sukanya Bakshi

Consultant

Bengaluru, Karnataka, India6 yrs 7 mos experience
AI EnabledHighly Stable

Key Highlights

  • Reduced financial data extraction time by 57%
  • Developed custom prompts for higher accuracy
  • Optimized LangChain-based LLM automation
Stackforce AI infers this person is a Fintech professional specializing in AI-driven automation and financial data processing.

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Skills

Core Skills

Generative AiNlpMachine LearningData Visualization

Other Skills

3D experienceAI for FinanceAnalytic Problem SolvingCC++CATIAData CleaningLinear RegressionLogistic RegressionMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPointMicrosoft WordNatural Language Processing (NLP)OpenAI API

About

AI for Finance | NLP & LLM Automation I specialize in AI-driven automation for financial data processing, with expertise in Generative AI, NLP, and Large Language Models (LLMs). My work involves designing intelligent AI solutions for BFSI, focusing on financial term sheet extraction, prompt engineering, and backend automation. In my current role, I work on a custom-built UI for term sheet processing, where I support prompt writing and backend development to optimize financial data extraction. I develop AI-powered solutions to extract structured information from complex financial documents efficiently. πŸš€ Key Achievements: βœ… Reduced financial data extraction time by 57% – Refactored backend logic to reduce processing time from 7 min to 3 min, eliminating Azure service timeout failures. βœ… Enhanced AI-driven prompt engineering – Developed custom prompts & logic to extract field details with higher accuracy. βœ… Optimized LangChain-based LLM automation – Improved financial document understanding, reducing manual intervention. βœ… Ensured seamless UI integration – Resolved backend inefficiencies, enabling smooth AI-powered data extraction in production. Technical Expertise: πŸ”Ή AI & Automation: Generative AI, NLP, Prompt Engineering, LLM-based Extraction πŸ”Ή Tech Stack: Python | LangChain | OpenAI API | PyPDF2 | SQL | Azure AI Services πŸ”Ή BFSI AI Use Cases: AI-driven financial document processing, automated risk assessment, enterprise AI solutions πŸ“ˆ Exploring: I'm passionate about AI in BFSI, AI-driven automation, and LLM-powered financial applications. Open to opportunities in AI Consulting, AI Solutions Engineering, and Financial AI roles. πŸ’‘ Let’s connect and explore how AI can drive next-gen automation in finance! πŸš€

Experience

6 yrs 7 mos
Total Experience
4 yrs 10 mos
Average Tenure
1 yr 9 mos
Current Experience

Capgemini

Consultant

Sep 2024 – Present Β· 1 yr 9 mos Β· Bengaluru, Karnataka, India Β· Hybrid

  • πŸ”Ή Gen AI Developer| Consultant – Capgemini
  • βœ… Optimized AI-powered financial document processing, reducing data extraction time by 53% for 300+ fields.
  • βœ… Designed & implemented LLM-based automated term sheet extraction, improving efficiency by 50%.
  • βœ… Used LangChain, PyPDF2 to automate financial data processing.
  • βœ… Built custom AI pipelines for BFSI automation, increasing data accuracy by 20%.
Python (Programming Language)Natural Language Processing (NLP)Pandas (Software)Generative AIAI for FinancePrompt Engineering+3

Quest global

Engineer

Nov 2019 – Sep 2024 Β· 4 yrs 10 mos Β· bangalore Β· Hybrid

  • Contributed to cross-functional projects and supported key business operations. Gained hands-on experience in a dynamic environment while building transferable skills in communication, coordination, and problem-solving.
Analytic Problem SolvingStatistical Data AnalysisData VisualizationMachine LearningPython (Programming Language)

Cm envirosystems (cme)

Intern

Jan 2019 – Mar 2019 Β· 2 mos Β· dabaspet

  • worked on the door design for test chambers

Ntpc limited

Industrial Trainee

Jul 2017 – Jul 2017 Β· 0 mo Β· kahalgaon

Education

International Institute of Information Technology Bangalore

Executive PG Program β€” Data Science

Jun 2022 – Sep 2023

Siddaganga Institute of Technology (SIT), Tumkur

Mechanical engineering β€” Mechanical Engineering

Jan 2015 – Jan 2019

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