Data Analyst

Reading: M.S in Economics | Skills: Advanced statistical and mathematical analysis of data, Statistical analysis, Code and project version history management, R software expert, Numerical analysis by Matlab, Keynote, Pages, Numbers, OS: Ubuntu, Os X, Windows

Reading: M.Sc Data Science, R Programming, Python, Data Analysis, Data Mining, Machine learning, SQL

Learning: CRISP - ML models and the process of handling the business problems, Going through the process of finding data types and practicing how to distinguish and handle different types of data types, Through EDA analyzing the anomalies in the data and clearing it by applying the Outliner treatment, winsorization, trimming

python, R software, SQL, Vizual Studio, RStudio Tools, Virtual box, Mongo DB

Python (Pandas, NumPy), Tableau, Carto, Machine Learning, scikit-learn, TensorFlow, Django e Flask, GitHub Actions, Database Management (SQL), SQL (MySQL,SQLite,PostgreSQL, SQLServer)Anaconda Navigator, MATLAB, OLAP, OLTP, Linear Regression, Logistical organization, Data extraction, preprocessing, Analyzing & visualization

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Spark, Python, R, SQL (Mysql, Postgresql Sparksql), Airflow, Docker, Tableau, Metabase,  SPSS, Minitab, Matlab, SAS, Tora, EViews

Qualified IT professional with knowledge of Machine learning, analytical thinking and creative problem-solving skills.

A versatile individual with experience in data collection, transformation, and organization for analysis to aid in decision making with excellent understanding and proficiency in data analysis platforms such as SQL, MS Excel, Tableau and Power BI.

An Actuarial Intern with strong IT skills such as R, Python, SQL, STATA, CSPro, SPSS, and Microsoft VBA is looking for a suitable actuarial role in the market.