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Brúnó Helmeczy

@brnhelmeczy

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Senior Data Scientist at BlackRock who built a Snowflake Intelligence text-to-SQL agent, saving 20k hours annually.

Hungary

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At BlackRock, I built an end-to-end Snowflake Intelligence text-to-SQL agent, saving 20k hours a year across 400+ monthly active users. I also established a centralized Product Analytics hub and developed an anomaly detection-based alert system.

Previously, I built forecasting, NLP, and analytics solutions at BLACKROCK (BLUEBIRD), SAP EMARSYS, ARCHIPELAGO, MORGAN STANLEY, and ACCORHOTELS. My work included productionizing hotel demand forecasting models, optimizing data pipelines, and creating product sentiment analysis.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

BlackRock

Jul 2024 - Present (2 years 3 months)

Promoted to FTE from Business Insights team. Built an end-to-end Snowflake Intelligence text-to-SQL agent, saving 20k hours/yr across 400+ MAU, and established a centralized Product Analytics hub for a $200M ARR application.

Snowflake Cortex Analyst Snowflake Cortex Search LLM As Judge Text To SQL Data Modeling Semantic layer Product Analytics KPI Definition Anomaly Detection Dynamic Tables Cost Optimization Stakeholder Management Team Leadership

Data Scientist

BlackRock

Jul 2023 - Jul 2024 (1 year)

Built a production-grade NLP system using coreference resolution transformer to score product sentiment from sales notes, adopted onto the firm's AI roadmap. Generated 400+ sales leads/yr by clustering model portfolios using K-means.

NLP Transformers Coreference Resolution Python K Means Clustering Embeddings Logistic Regression Decision Trees Product Sentiment Analysis Sales Analytics

Data Scientist

SAP Emarsys

Mar 2022 - Jun 2023 (1 year 3 months)

Redefined North Star metrics and KPIs by partnering with Product, UX, and Leadership. Optimized BigQuery and dbt data pipelines, saving $10k/yr and reducing dashboard load-time by 95%.

BigQuery DBT Data Pipelines ETL KPI Definition Product Analytics Dashboard Optimization Performance Optimization

Data Scientist

Archipelago

Apr 2021 - Feb 2023 (1 year 10 months)

Productionized MSc thesis research on hotel demand forecasting. Improved forecast accuracy by 3% for 45 hotels, delivering est. $60k/yr revenue, and designed a custom reporting system for ~1k monthly users.

SARIMA XGBoost AutoML Time series Forecasting Demand Forecasting Python Reporting Systems Data Visualization

Quantitative Model Developer

Morgan Stanley

May 2021 - Feb 2022 (9 months)

Built scenario-based analytics to attribute macro-economic shock impact on Balance Sheet time series models. Taught internal R training sessions to upskill 100+ people.

R Time Series Analysis scenario analysis Balance Sheet Forecasting Training Communication Skills

Revenue Management Analyst

AccorHotels

May 2018 - Jun 2020 (2 years 1 month)

Designed forecasting and price optimization tool for a 450-room hotel, modeling segment demand curves and optimizing room prices. Built an analytics dashboard that saved 300 hrs/yr and cut reporting workload by 59%.

Forecasting Price Optimization Demand Modeling Revenue Management Analytics Dashboards Data Visualization

Education

Degrees, certifications, and relevant coursework

Central European University

MSc, Business Analytics

Activities and societies: Outstanding Academic Achievement Award recipient (Top student in Class of 2021)

MSc in Business Analytics with coursework in Data Science, ML, NLP, and Data Engineering. Recipient of the Outstanding Academic Achievement Award as top student in the Class of 2021.