Anibal Brenes
Verified Expert in Engineering
Data Scientist and Developer
San José, Costa Rica
Toptal member since July 8, 2022
Anibal is a data scientist with a master's degree in statistics. Having over five years of experience in statistical analysis and two in machine learning modeling, he is knowledgeable in data science, ML models, data mining, time series, and different programming languages such as R, Python, and SQL. Anibal is a team player who enjoys applying data structures to take advantage of the information available for the institution's benefit.
Portfolio
Experience
- R - 8 years
- Data Science - 5 years
- Machine Learning - 5 years
- Statistical Analysis - 5 years
- Predictive Modeling - 5 years
- SQL - 2 years
- RStudio Shiny - 1 year
- Microsoft Power BI - 1 year
Availability
Preferred Environment
Windows, R, RStudio, PyCharm, Predictive Modeling
The most amazing...
...thing I've built is a model predicting clients with higher probabilities of responding to specific advertising campaigns.
Work Experience
Senior Data Scientist
Hangar
- Improved the repositories organization and facilitated the transfer between team members by developing an RStudio project template.
- Updated and maintained the Shiny apps hosted on Ubuntu servers.
- Generated a new code structure for a MMM model, which facilitated the reproducibility of the code and refreshed the process.
Statistical Analyst
Fiserv
- Increased client revenue by creating machine learning models that identified clients with high probabilities of responding to marketing campaigns. These models increased the client's response by 8% on average.
- Created a dashboard for fraud analysis that consolidated the information from several sources, allowing the analyst to focus on just one tool to perform any investigation.
- Contributed to creating ETL processes of monthly and weekly data, reducing the effort time.
- Created scripts for data download automation, reducing the effort time from several hours to just minutes.
Hydrological Analyst
Instituto Costarricense de Electricidad
- Elaborated on the statistical analyzes to evaluate the affectation generated in the river channel of the Reventazón river due to the entry into operation of the Hydropower Project.
- Developed a new methodology, with its respective application (software), for estimating unit hydrograms through optimization methods.
- Created control reports of the bathymetry of the Cariblanco, Toro II, and Peñas Blancas reservoirs.
- Reduced the data processing time from measurements of the Reventazón river by 60%.
- Lowered the estimation of unit hydrograms time by 90%.
Experience
Campaign Effectiveness Analysis for SAS Company
https://github.com/anibalb05/huli_analysisThe subscription purchase measured the campaign's success at the end of the trial. The campaign was executed in different countries and with doctors of different specialties. The objective of the analysis was to determine if the campaign was successful and if the doctor's specialty or the country impacted the campaign's results.
To identify the success of the campaign, an EDA was performed. Logistic regression was built to estimate the different variables' impact on the subscription purchase.
Education
Master's Degree in Statistics
University of Costa Rica - San Jose, Costa Rica
Bachelor's Degree in Civil Engineering
University of Costa Rica - San Jose, Costa Rica
Skills
Libraries/APIs
Pandas, ArcGIS
Tools
GIS, PyCharm, Microsoft Power BI, Excel 2013
Languages
R, Python 3, Python, SQL
Platforms
RStudio, Windows
Paradigms
ETL
Storage
Databases, JSON
Frameworks
RStudio Shiny
Other
Machine Learning, Statistical Analysis, Data Science, Predictive Modeling, Artificial Intelligence (AI), Data Analytics, Data Analysis, Reports, Data Modeling, Statistics, Predictive Learning, Analytics, Data Engineering, Data Visualization, eCommerce, Spatial Analysis, Hydrology, Time Series Analysis, Linear Regression, Visualization Tools
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