Detail-oriented Computer Science graduate with strong knowledge in Data Analytics, Python, SQL, and Machine Learning. Skilled in data preprocessing, exploratory data analysis (EDA), and dashboard development using Power …
Detail-oriented Computer Science graduate with strong knowledge in Data Analytics, Python, SQL, and Machine Learning. Skilled in data preprocessing, exploratory data analysis (EDA), and dashboard development using Power BI. Passionate about transforming raw data into actionable insights to support data-driven decision-making and organizational growth.
Analyzed 5,000 + structured datasets to extract meaningful insights using Python and Excel., Performed data cleaning, preprocessing, and Exploratory Data Analysis (EDA)., Developed interactive dashboards and visual reports using Power BI., Applied statistical techniques to support data-driven decision making., Presented analytical findings through clear reports and visualizations.
The "Gaming and Mental Health Prediction Analysis" project focuses on analyzing the relationship between gaming habits and mental health conditions such as stress, anxiety, and depression. In recent years, online gaming has significantly increased among students and young adults. While gaming provides entertainment and relaxation, excessive usage may negatively affect mental well-being.The main objective of this project is to examine how different gaming factors such as daily screen time, type of games played, frequency of gaming sessions, and social interaction influence mental health status. The dataset used in this study includes demographic details, gaming behavior patterns, and mental health indicators collected through surveys.Initially, data preprocessing techniques were applied to clean the dataset by handling missing values, removing duplicates, and encoding categorical variables. Exploratory Data Analysis (EDA) was performed to understand patterns and correlations between gaming behavior and mental health factors. Statistical analysis methods were also applied to measure the strength of relationships between variables.Machine learning classification algorithms such as Logistic Regression, Decision Tree, and Random Forest were implemented to predict the mental health risk level of individuals based on their gaming patterns. The performance of the models was evaluated using metrics such as Accuracy, Precision, Recall, and F1-Score.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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