Please complete the CAPTCHA to continue
@trmlabs.com
✓
LinkedIn matched
A concise factual answer block for searchers comparing this professional profile.
Bruno Gonçalves is listed as Consultant specializing in Large Language Models and Machine Learning at Data For Science, based in New York, New York, United States. AeroLeads shows a work email signal at trmlabs.com and a matched LinkedIn profile for Bruno Gonçalves.
Bruno Gonçalves previously worked as Consultant at Data For Science and International Science Fellow at Isi Foundation. Bruno Gonçalves holds Doctor Of Philosophy - Phd, Theoretical And Computational Physics from Emory University.
This section adds company-level context without repeating Bruno Gonçalves's masked contact details.
AeroLeads found 1 current-domain work email signal for Bruno Gonçalves. Compare company email patterns before reaching out.
My work focuses on the use of Big Data techniques (Data Mining, Analysis and Machine Learning) to the understanding and modeling of human behavior. Past projects have included the use of large Twitter datasets to study political discourse and information diffusion online; modeling of online navigation using real world traces and the modeling and prediction of epidemics at the global scale. These projects required heavy use of techniques from data analysis, visualization, machine learning to turn raw data into practical insights on the way in which people behave, communicate and socialize in the real world.Specialities: Data analysis and modeling using Hadoop, Pig, Python, R, Matlab/Octave, C/C++ and Java. Interests: Big data, Visualization, Cloud Computing, Modeling, Computational (Social) Science, Applied PhysicsFor a complete list of publications and an up to date CV, please see http://www.bgoncalves.com
Listed skills include Machine Learning, Data Analysis, Python, Data Mining, and 44 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
○ Developed and implemented a pipeline to scrape and parse in real time all on-chain activity for the Stacks blockchain.○ Implemented dashboards to track custom metrics of on-chain activity for a variety of DeFi tokens across 10 blockchains.○ Analyzed DEX token swap transactions on Solana and EVM blockchains.○ Analyzed social activity leading up to large.
New York, NY, US
- Large scale analysis of public statements using NLP and sentiment analysis.- Analyzed tens of billions of card transactions using Hive and pySpark- Time series analysis of deposit balances using ARIMA, GARCH and LSTM models.- Causal Inference applied to understanding customer spending behavior- Used Model Based Recursive Partitioning to automatically.
New York, NY, US
- Applied sentiment analysis and NLP to establish the existence of Happiness Paradox in online social networks- Combined Google Books and geolocated Twitter JSON data to understand the Americanization of English language- Built a global event detector using Hadoop to process Wikipedia MySQL dumps and realtime Wikipedia page view data (crawled using.
- Used timeseries analysis to study the coordination of on/offline social phenomena within specific areas defined by government issued shapefiles- Studied tourist travel between cities using Hadoop to process a large scale geolocated Twitter dataset- Developed a Multiplex (multi-layer) model for the influence of human mobility in social structure.
Boston, MA, US
- Used Twitter real time stream to forecast in advance the winner of American Idol- Used Twitter and Wikipedia datasets to analyze how the Global Language Network impacts cultural diffusion
- Established the cognitive limitation of Dunbar’s number in online conversations using Network Science- Developed visualizations of spatial datasets using Google Earth, ArcGIS and Processing that were featured in the coverof PNAS and Physics World- Established a statistical global commuting law using Census data from 30 different countries in 6.
Quick answers generated from the profile data available on this page.
Bruno Gonçalves works for Data For Science.
Bruno Gonçalves is listed as Consultant specializing in Large Language Models and Machine Learning at Data For Science.
AeroLeads has found 1 work email signal at @trmlabs.com for Bruno Gonçalves at Data For Science.
Bruno Gonçalves is based in New York, New York, United States while working with Data For Science.
Bruno Gonçalves has worked for Data For Science, Isi Foundation, Trm Labs, Jpmorgan Chase & Co., and Nyu Center For Data Science.
You can use AeroLeads to view verified contact signals for Bruno Gonçalves at Data For Science, including work email, phone, and LinkedIn data when available.
Bruno Gonçalves holds Doctor Of Philosophy - Phd, Theoretical And Computational Physics from Emory University.
Bruno Gonçalves is listed with skills including Machine Learning, Data Analysis, Python, Data Mining, Mathematical Modeling, Numerical Analysis, Latex, and Statistics.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts