Data Analyst with 2.7 years of experience in Python-based analytics and machine learning. Skilled in data preprocessing, feature engineering, predictive modeling, and dashboard visualization. Proven ability to transform …
Data Analyst with 2.7 years of experience in Python-based analytics and machine learning. Skilled in data preprocessing, feature engineering, predictive modeling, and dashboard visualization. Proven ability to transform raw data into meaningful insights that support business decisions. Passionate about solving real-world problems using analytics and scalable ML solutions.
Built predictive models using Logistic Regression, Random Forest, SVM, and KNN for structured datasets.
Performed extensive data cleaning, preprocessing, and feature engineering to improve model accuracy.
Designed dashboards in Tableau and Python visualizations to communicate insights to stakeholders.
Evaluated model performance using accuracy, precision, recall, and tuning techniques.
Assisted in integrating ML outputs into business reporting workflows.
Built predictive models using Logistic Regression, Random Forest, SVM, and KNN for structured datasets., Performed extensive data cleaning, preprocessing, and feature engineering to improve model accuracy., Designed dashboards in Tableau and Python visualizations to communicate insights to stakeholders., Evaluated model performance using accuracy, precision, recall, and tuning techniques., Assisted in integrating ML outputs into business reporting workflows.
Developed Python scripts for data handling and preprocessing tasks.
Learned enterprise SDLC practices, debugging, and modular code development.
Worked on structured assignments involving ML-supporting analytics workflows.
Strengthened problem-solving skills and production readiness.
Developed Python scripts for data handling and preprocessing tasks., Learned enterprise SDLC practices, debugging, and modular code development., Worked on structured assignments involving ML-supporting analytics workflows., Strengthened problem-solving skills and production readiness.
Built a predictive model to identify machine failure risks using classification algorithms. Performed feature selection, preprocessing, and model comparison. Improved prediction reliability through tuning and validation techniques. Implemented end-to-end workflow using Python for analysis and evaluation.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
