Anthony Manotoa Moreno  new_releases

I am a passionate Data Analyst who thrives on discovering valuable insights through data analysis, with experience in subscription-based business models and the education industry. My goal is to apply my technical skills and business knowledge to help companies make informed decisions and achieve their objectives.

I have led engagement and retention projects to predict and reduce churn, improve retention, and create daily/weekly/monthly OKR and team-relevant KPI tracking dashboards. I have also worked on decision-making analysis projects such as A/B testing and k-means classification models to cluster users.

I have strong technical skills in SQL, with emphasis on BigQuery, PostgreSQL, and Redshift, and in Python and its main Data Science libraries such as NumPy, Pandas, Matplotlib, Seaborn, and SciPy. I also have experience with the entire modern data stack, including the ELT process with dbt, and data visualization tools such as Superset, Metabase, Data Studio, and Power BI. My solid mathematical fundamentals include statistics and linear algebra.

Recently, I worked on a cohort analysis project to identify behavior patterns among users and improve retention. I also led the development of data models for reporting and warehousing with dbt to ensure data quality and facilitate decision-making. In addition to my technical skills, I have experience working in teams and effectively communicating results and recommendations to stakeholders.

I have 2 years of experience and have earned certifications and taken training courses in various technologies and tools, including dbt.