• I clean raw datasets, remove errors, check data types, and prepare tidy tables.
• I run exploratory analysis. I create summary tables, charts, and correlation checks.
• I build predictive models using logistic regression, random forest, gradient boosting, and neural networks.
• I tune model parameters, run cross validation, and report accuracy, precision, recall, and ROC values.
• I prepare clear reports with the problem, the steps used, and the results.
• I build end to end workflows in Python or R. I write code in a simple structure.
• I automate routine reporting tasks.
• I prepare feature sets through encoding, scaling, and variable selection.
• I build dashboards in Power BI or Tableau to show trends and forecasts.
• I explain results in short statements that support decisions.
Tools I use:
• Python, R, SQL
• Pandas, NumPy, Scikit learn, TensorFlow, Keras
• Power BI, Tableau
• GitHub for version control
• Jupyter and R Markdown for reports
How I work with clients:
• I review the scope.
• I agree on inputs, outputs, and timelines.
• I share progress updates.
• I deliver clean files, code, and a short summary of findings.
My strengths:
• I follow a structured workflow.
• I deliver clear outputs that address the task.
• I keep communication simple.