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Krenak Gergo

@krenakgergo

Data Analyst at Morgan Stanley who automated audit reporting with AI and built Power BI dashboards saving hours for teams.

Hungary

Message

At Morgan Stanley Internal Audit, I led an automated AI pipeline that turns monthly deck PDFs into executive email summaries, and contributed to an AI-powered BI tool using retrieval-augmented LLM search.

I designed and deployed Power BI dashboards backed by PostgreSQL and Python ETL pipelines. One dashboard is used by 180+ daily users and saves 40–60+ hours per audit; another tracks model data quality and saves 10–15+ hours weekly.

Earlier, I analyzed quantitative financial models and optimized PostgreSQL queries at Morgan Stanley. At T´arki Zrt., I processed survey datasets with R, Python, Excel, and SPSS, and presented research results to clients.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst - Internal Audit

Current

Morgan Stanley

Aug 2025 - Present (1 year 2 months)

Led an automated AI pipeline parsing 60+ page monthly deck PDFs into executive email summaries using Generative AI models. Designed and deployed an automated Power BI dashboard with an ETL pipeline built on PostgreSQL and Python, saving 10-15+ hours weekly.

Generative AI Power BI PostgreSQL Python ETL SQL DAX Data Modeling Mentorship

Data Analyst Intern - Internal Audit

Morgan Stanley

Dec 2024 - Aug 2025 (8 months)

Collaborated in a 5-member Data Analytics team to examine and evaluate quantitative financial models used across the Firm. Constructed complex SQL backend queries and optimized database pipelines in PostgreSQL to fuel data analytics frameworks and executive reporting.

SQL PostgreSQL Data Analysis Financial Modeling Database Optimization

Data Analyst - Data Collection Division

Tarki Zrt.

Jan 2024 - Aug 2024 (7 months)

Processed, cleaned, and analyzed complex survey datasets using R, Python, Excel, and SPSS to support quantitative research deliverables. Translated technical research results into clear statistical output and visually compelling client presentations in PowerPoint.

R Python Excel SPSS Data Cleaning Data Analysis Statistical Analysis PowerPoint