I will build predictive models, regression analyses, and ml solutions
Dashboard and BI, Kibana, Grafana, Looker, Tableau, Power BI, Data Automation
About this Gig
Predictive Modeling Build predictive models to forecast outcomes, uncover trends, assess risks, and support data-driven decisions.
Regression Analysis Develop Linear, Multiple, Logistic, Polynomial, Ridge, Lasso, and other regression models.
Statistical Analysis Perform descriptive statistics, correlation analysis, hypothesis testing, ANOVA, statistical inference, and significance testing.
Machine Learning Build supervised and unsupervised ML models for classification, regression, clustering, and prediction.
Model Evaluation Measure performance using R², RMSE, MAE, MSE, accuracy, precision, recall, F1-score, ROC-AUC, and cross-validation.
Model Optimization Apply hyperparameter tuning, model comparison, validation, feature selection, and performance optimization.
Deliverables: Cleaned and prepared datasets, statistical analysis, predictive/ML models, evaluation metrics, visualizations, actionable insights, predictions, and technical documentation.
Skills: Python, R, SQL, Pandas, NumPy, Scikit-learn, SciPy, Statsmodels, LightGBM, Random Forest, Regression, Classification, Clustering, Predictive Analytics, Machine Learning, Statistical Modeling, and Data Science.

