Vigneshwar A
Coimbatore
Summary
Data Analyst at MSCI Inc, recognized for developing AI-driven solutions that enhance operational efficiency. Proficient in Python programming and analytical problem solving, with a track record of creating automated workflows that improve data integrity and save time. Innovative methods in data extraction and validation consistently yield high-quality outputs.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Analyst
MSCI Inc
Coimbatore
06.2023 - Current
- Collect financial and non-financial documents from official sources including stock exchanges and issuer websites.
- Perform validation, QC, and structured upload into DAP (Data Acquisition Platform).
- Developed Python-based automation reducing manual effort by ~1 hour/day with 100% accuracy.
- Created end-to-end automated Excel data processing workflow improving data integrity and eliminating structural errors.
- Developed UiPath automation (fully functional) estimated to save ~4 hours/day.
- Built AI prompts for automated URL collection, authentication validation, and document sourcing.
- Developed LangFlow-based URL workflow achieving 92% accuracy - 20% higher than standard GPT prompts - built within 5 hours.
- Designed a fully automated workflow for document collection, processing, and validation.
- Automated Excel consolidation, mapping, formatting, and structural alignment.
- Improved data integrity, eliminated manual intervention, and produced audit-ready outputs.
- Saved ~1 hour/day with 100% accuracy.
- Developed a production-ready UiPath sequence to extract issuer URLs from multiple sources.
- Not deployed due to licensing restrictions but fully function-tested.
- Estimated to save ~4 hours/day of repeated manual work.
- Created an AI prompt capable of automatically collecting company document URLs.
- Built a URL validation prompt to authenticate and verify link reliability.
- Improved accuracy and consistency compared to traditional data collection methods.
- Built a LangFlow-based automated pipeline to generate issuer source URLs.
- Developed within 5 hours and achieved 92% accuracy - 20% higher than standard GPT prompt methods.
- Improved sourcing consistency and enhanced document retrieval automation.
- Recognized for pioneering AI-driven solutions, advanced prompt engineering workflows, Python automation scripts, and UiPath sequences that improved operational efficiency and intelligence.
- Awarded for developing the end-to-end automated data processing system that significantly improved efficiency, accuracy, and reporting precision across financial workflows.
- Certified for building high-impact AI prompts and automation workflows used for data sourcing, URL intelligence, and document validation.
Education
Bachelor of Commerce - Information Technology
KG College of Arts and Science
Coimbatore06.2023
Skills
- Analytical problem solving
- AI prompt engineering
- Critical thinking
- Time management
- Effective communication
- MS Excel
- Python programming
- Workflow automation
- Data quality control
- Process optimization
- AI-driven data extraction
- Attention to detail
- Artificial intelligence
- SQL
Projects
End-to-End Automated Data Processing (Python), Designed a fully automated workflow for document collection, processing, and validation. Automated Excel consolidation, mapping, formatting, and structural alignment. Improved data integrity, eliminated manual intervention, and produced audit-ready outputs. Saved ~1 hour/day with 100% accuracy. Automated URL Collection Sequence (UiPath), Developed a production-ready UiPath sequence to extract issuer URLs from multiple sources. Not deployed due to licensing restrictions but fully function-tested. Estimated to save ~4 hours/day of repeated manual work. AI Prompt-Based URL Extraction & Validation (GPT), Created an AI prompt capable of automatically collecting company document URLs. Built a URL validation prompt to authenticate and verify link reliability. Improved accuracy and consistency compared to traditional data collection methods. LangFlow Automated Source URL Workflow (92% Accuracy), Built a LangFlow-based automated pipeline to generate issuer source URLs. Developed within 5 hours and achieved 92% accuracy - 20% higher than standard GPT prompt methods. Improved sourcing consistency and enhanced document retrieval automation.
Awards
- AI Catalyst 2025, MSCI, Recognized for pioneering AI-driven solutions, advanced prompt engineering workflows, Python automation scripts, and UiPath sequences that improved operational efficiency and intelligence.
- Bright Spark Award, MSCI, 08/01/25, Awarded for developing the end-to-end automated data processing system that significantly improved efficiency, accuracy, and reporting precision across financial workflows.
- Prompt Engineering Certification, MSCI, Certified for building high-impact AI prompts and automation workflows used for data sourcing, URL intelligence, and document validation.
Profile
VIGNESHWAR A, DATA ANALYST, viignes03@gmail.com, +91-9087292450
Languages
English
Upper Intermediate (B2)
B2
Tamil
Native
Native
Certification
SAP FICO.
Timeline
Data Analyst
MSCI Inc
06.2023 - Current
Bachelor of Commerce - Information Technology
KG College of Arts and Science