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Joseph D.
Data Scientist
Joseph is a Data Scientist with six years of commercial experience, verified in Data Analytics, Analytics Engineering, and Business Analytics. He specializes in transforming complex datasets into actionable insights using advanced statistical methods and machine learning algorithms.
Joseph has successfully led data initiatives both as a solo contributor and as a member of large data teams in publicly listed companies, showcasing his versatility and leadership skills. He has a strong background in Machine Learning Engineering and Data Engineering, with proficiency in Python, R, SQL, and various data visualization tools. His experience spans multiple industries, including finance and healthcare, making him a well-rounded professional in the field of data science.
Main expertise
- Tableau 5 years
- Scikit-learn 5 years
- Data Analytics 5 years
Other skills
- Data Modeling 6 years
- ETL 5 years
- Pandas 5 years
Selected experience
Employment
Data Scientist
TC - 3 years 3 months
- Executed CRISP-DM cycles to select, test, iterate, and communicate statistical and ML models for growth, supporting operational and executive decisions. Collaborated closely with the Data Engineering team to acquire and validate data.
- Worked daily with fellow Data Scientists on data gathering, cleaning, transformation, and modeling. Reviewed team pull requests, and selected, trained, and validated ML and statistical models.
- Developed modular data models and transformations on raw/curated data in a Lakehouse architecture. Created, monitored, and maintained ETLs and data pipelines.
- Set up general and domain-specific data tests to ensure model assumptions. Collaborated daily with the analytics team to ensure modularity in development efforts and data reliability.
- Developed insightful, low-latency reports and dashboards with reliable data and actionable metrics for all Growth operations, including user acquisition, activation, engagement, conversion, and retention.
- Collaborated with teams of analysts, managers, and executives to produce predictive analytics on complex operations data and big-picture executive dashboards.
Technologies:
- Technologies:
Tableau
- Data Modeling
Redshift
AWS Glue
- AWS Athena
Scikit-learn
MongoDB
ETL
Pandas
NumPy
- Data Analytics
Microsoft Power BI
Apache Airflow
- NLP
Google Cloud
PostgreSQL
BigQuery
Python
AWS
Data Scientist
Filmr - 10 months
- Customized, iterated, and automated data products to supply Growth and Product teams with relevant and actionable data for timely decisions.
- Designed events and parameters architecture for rich app usage data and analyses.
- Executed lean and agile end-to-end data science projects for strategic insights.
- Developed machine learning models for sales and conversions forecasting.
- Analyzed customer lifetime value, cost of acquisition, and market response models.
Technologies:
- Technologies:
- Data Modeling
-
Scikit-learn
-
ETL
-
Pandas
-
NumPy
- Data Analytics
-
Apache Airflow
-
Google Cloud
-
PostgreSQL
-
BigQuery
- Data Science
-
Python
Product Owner and Lean Consultant
Concore - 1 year 1 month
- Ideated, planned, and managed new product development, focusing on testing value propositions, market assumptions, and growth hypotheses.
- Managed backlog and sprints, collaborating with developers, designers, and Scrum Masters.
- Modeled and measured business processes, validated data models, monitored production data, and tested venture hypotheses.
- Delivered 15+ projects to clients, contributing to a 4X revenue growth.
Technologies:
- Technologies:
-
Tableau
- Data Modeling
-
ETL
-
Pandas
-
NumPy
- Data Analytics
-
PostgreSQL
- Data Science
Education
BSc.Economics
University of São Paulo · 2011 - 2018
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