Languages & tools:
python (pandas, numpy, scikit-learn), r (ggplot2, dplyr), sql (ctes, joins, subqueries), power bi, tableau, excel (advancedformulas, pivot tables, macros)
data analytics:
data cleaning & structuring, eda, feature engineering, data validation, predictive modeling, statistical analysis
machine learning support:
dataset preparation, model evaluation, bias detection, data quality assurance, performance monitoring
soft skills:
cross-functional collaboration, strategic communication, problem solving, insight presentation, curiosity & adaptability
data management & visualization
: data cleaning, data analysis, bi dashboard development, reporting automation