Motivated and detail-oriented Analyst with a Master’s in Information Systems, proficient in Python, R, SQL, Power BI and Tableau. Demonstrates strong skills in developing dashboards, KPI reports and machine learning appl…
Motivated and detail-oriented Analyst with a Master’s in Information Systems, proficient in Python, R, SQL, Power BI and Tableau. Demonstrates strong skills in developing dashboards, KPI reports and machine learning applications, complemented by hands on internship and project experience. Well-versed in IT Project & Strategy Management and Agile Methodologies. Known for effective interdisciplinary communication and a commitment to continuous learning and improvement.
Provided personalized support to students, offering one-on-one guidance in project.
Managed the evaluation of assignments, exams, and projects, contributing to improved student performance in a collaborative learning environment.
Applied Python, Pandas, and visualization libraries (Matplotlib, Seaborn) for statistical analysis, uncovering key insights into survival trends, age demographics, and socio-economic factors.
Built a decision tree classifier to predict customer purchasing behavior achieving an accuracy of 87.18%.
Conducted sentiment analysis on Twitter data using Python, NLP techniques, and sentiment analysis libraries.
Identified a predominant neutral sentiment trend, showcasing proficiency in data extraction, text processing, and analytical interpretation.
Executed data preprocessing with mean and mode imputation and one-hot encoding.
Utilized Python, Pandas, and Scikit-learn for extensive EDA, uncovering key patterns in age-related and gender-based absenteeism.
Designed and optimized predictive models, specifically using Linear Regression and Random Forest Regression in Scikit-learn.
Applied GridSearchCV for hyperparameter tuning and engaged in feature engineering, creating variables like "TotalExperience" to enhance model effectiveness.
Employed Tableau alongside Python visualization tools (Matplotlib, Seaborn) for impactful data presentation.
The visualizations effectively showcased correlations and trends, aiding in strategic decision-making for HR policies.
Executed a data analytics project, 'Analyze Death Age Difference of Right Handers with Left Handers', focusing on data manipulation, statistical analysis, and insightful findings.
Employed PowerBI for advanced data visualization, effectively presenting findings and insights that highlighted the age difference patterns between right and left-handed individuals.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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