Data Analyst and Data Science student with hands-on experience in data cleaning, exploratory data analysis (EDA), feature engineering, and machine learning. Proficient in Python, SQL, Power BI, and Tableau for dashboard …
Data Analyst and Data Science student with hands-on experience in data cleaning, exploratory data analysis (EDA), feature engineering, and machine learning. Proficient in Python, SQL, Power BI, and Tableau for dashboard development, data visualization, and KPI reporting. Experienced in building predictive models, performing statistical analysis, and developing ETL pipelines to extract actionable insights from complex datasets.
Conducted exploratory data analysis (EDA) and feature engineering on structured datasets to identify patterns and trends
Developed and optimized machine learning models using Scikit-learn for regression and classification tasks
Conducted exploratory data analysis (EDA) and feature engineering on structured datasets to identify patterns and trends, Developed and optimized machine learning models using Scikit-learn for regression and classification tasks
Performed data cleaning, preprocessing, and transformation using Pandas and NumPy
Conducted EDA using Matplotlib and Seaborn to identify trends, correlations, and anomalies
Performed data cleaning, preprocessing, and transformation using Pandas and NumPy, Conducted EDA using Matplotlib and Seaborn to identify trends, correlations, and anomalies
Developed interactive dashboards using Power BI and Tableau for KPI tracking and reporting
Built a Python-based chart builder application to automate data visualization and reporting
Developed interactive dashboards using Power BI and Tableau for KPI tracking and reporting, Built a Python-based chart builder application to automate data visualization and reporting
Developed interactive dashboard using Power BI for sales KPI tracking and performance analysis Performed data cleaning and transformation using Power Query
Performed exploratory data analysis (EDA) to identify key factors affecting customer churn Processed and analyzed data using Pandas, NumPy, and Matplotlib Generated actionable insights to support business decision-making
Analyzed delivery time, order cancellations, and logistics performance using Python Performed data cleaning, preprocessing, and feature engineering on supply chain data Conducted exploratory data analysis (EDA) to identify operational bottlenecks
Developed Streamlit-based web application for automated data visualization and reporting Enabled dynamic chart generation (bar, line, pie) from user-uploaded Excel/CSV datasets Implemented automated insight generation and PDF report creation
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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