José Sención
Santo Domingo
Summary
Knowledgeable data scientist with strong foundation in data analysis, machine learning, and statistical modeling. Successfully developed predictive models and data-driven solutions to optimize business performance. Demonstrated proficiency in Python and SQL, leveraging data visualization tools to communicate insights effectively.
Overview
5
5
years of professional experience
Work History
Data Scientist
AB Inbev
06.2023 - Current
- Developed predictive models for customer purchase behavior with 97% accuracy using machine learning techniques.
- Designed a recommendation system leveraging collaborative filtering algorithms, driving a 25% increase in customer engagement and sales.
- Automated data pipelines, cutting processing time by 45% for expedited analysis and decision-making.
- Executed A/B Testing projects to assess product innovations in the market.
- Collaborated with cross-functional teams to define data requirements and improve system architecture.
- Developed multiple classification models for market segmentation (Xgboost, CatBoost, Decision trees, Neural Networks)
- Developed NLP and LLM's models to help our secondary line of business with the customer service activities.
- Designed a CNN model using YOLO and Opencv libraries to help our production line with bottles classification considering it's the front label which increase the efficiency and became a cost effective alternative.
- Developed multiple ML regression models (Linear Regression, Neural Networks, XGBoost, Arimax, Sarimax, Catboost) to calculate elasticitic over price changes and forecast the demand of beer in the country.
- Implemented a Customer Time Value ML model to calculate the churn and future value of a customer in a given period of time.
Business Intelligence Analyst
Quimocaribe
10.2022 - 06.2023
- Built and maintained dashboards delivering real-time insights into business operations.
- Developed a data warehouse integrating data from multiple sources, achieving 60% reduction in manual data entry.
- Created multiple data pipelines connecting various data entry sources, including ERP, CRM, and SSAS tools.
- Conducted detailed data analysis to inform strategic decision-making and enhance operational efficiency.
- Collaborated with cross-functional teams to identify data needs and implement effective solutions.
Data Engineer
Xploy Solutions
08.2020 - 06.2022
- Developed and optimized ETL processes using SSIS and SSRS to enhance data integration efficiency.
- Analyzed data sets to derive actionable insights, driving data-informed decision making.
- Collaborated with cross-functional teams to ensure data quality and integrity across systems.
- Automated reporting processes, reducing time spent on manual tasks by 30%.
- Conducted training sessions for team members on best practices in data handling and visualization.
- Extracting information from multiple sources such as; Google Cloud and AWS to create reports.
- Designed a web scrapping script to obtain data from multiple websites to create SEO and SEM reports to fulfill the marketing campaigns.
- Using Excel to present findings and insights through our reports.
Education
Master in Artificial Intelligence -
CEUPE
Madrid, Espana01.2025
Professional Data Scientist - undefined
365 Data Science
United Kingdom01.2021
Skills
- Python programming
- Machine learning
- SQL databases
- Statistical analysis
- Big data analytics
- Agile methodology
- Data wrangling
- Feature engineering
Languages
English
Native or Bilingual
Spanish
Native or Bilingual
Italian
Professional Working
Timeline
Data Scientist
AB Inbev
06.2023 - Current
Business Intelligence Analyst
Quimocaribe
10.2022 - 06.2023
Data Engineer
Xploy Solutions
08.2020 - 06.2022
Professional Data Scientist - undefined
365 Data Science
Master in Artificial Intelligence -
CEUPE