Enthusiastic and detail-oriented Data Analyst with a passion for uncovering insights from complex datasets. Proficient in utilizing analytical tools and techniques to extract meaningful information that drives business d…
Enthusiastic and detail-oriented Data Analyst with a passion for uncovering insights from complex datasets. Proficient in utilizing analytical tools and techniques to extract meaningful information that drives business decisions. Skilled in Python, SQL, Power BI, and Excel with a strong foundation in statistics and programming. Adaptable and collaborative, I thrive in dynamic environments where I can leverage my analytical skills to solve challenging problems.
Proficient in Python for data analysis and Power BI for visualization.
Skilled in data cleaning using Advanced Excel and Power BI.
Hands on experience in SQL for data retrieval, transformation, and analysis from relational databases.
Apply statistical analysis to derive meaningful conclusions and make informed decisions.
Develop clear and accessible dashboards by integrating data from multiple sources.
Currently I'm doing hands on experience with ML algorithm Techniques.
Tool Used: Excel, Power Bi for data cleaning and data transformation, Python and Power Bi for Data Visualization
The project aims to develop a diagnostic prediction model for diabetes using medical measurements from a dataset provided by the National Institute of Diabetes and Digestive and Kidney Diseases.
The dataset includes only female patients who are at least 21 years old.
The dataset contains independent variables such as glucose levels, insulin levels, BMI (Body Mass Index), blood pressure, among others, which are potential predictors for diabetes diagnosis.
The target variable, "Outcome," indicates whether a patient has diabetes or not.
This project aims to collect and analyze Human Resources (HR) data in order to boost Organization's Workforce performance.
Identifying the outcome of attrition levels through demographic and turnover analyses and creating a dynamic dashboard.
With a total of 1470 employees, of which 1233 are currently active, the attrition rate stands at 16.12%, accounting for 237 employees and average age 37 years.
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
