Freelancer
Remote
Swat
03.2024 - Current
- Built visualizations that enabled users to quickly interpret results from complex analyses.
- Translated raw data into meaningful information using statistical techniques.
- Implemented strategies for dealing with imbalanced datasets.
- Generated reports on model performance evaluation results.
- Interpreted complex data sets according to business requirements.
- Conducted data pre-processing operations such as feature engineering, normalization, and imputation.
- Developed machine learning models and algorithms for predictive analytics.
- Evaluated model performance by computing confusion matrix metrics such as precision and recall scores.
- Performed exploratory data analysis on large datasets to identify patterns and trends.
- Evaluated model performance metrics such as accuracy, precision, recall, F1 score.
- Built machine learning models for classification and regression problems.
- Created graphs and charts detailing data analysis results.
