Data Analyst

Data Analyst| Data Eningeer| HR Data Analyst

• Data Science

'm Enthusiastic and dedicated data analyst with a strong foundation in data collecting, loading, and analysing data. Having recently completed a comprehensive data analytics boot camp where I gained hands-on experience in various aspects of data science, including data collection, data cleaning, data analysis, and data visualization.

Throughout the boot camp, I actively engaged in multiple projects, allowing me to apply a wide range of tools and techniques used in data analysis, such as Python (Pandas | Numpy | Matplotlib | Seaborn | Plotly Plot | Scikit-Learn), Visualization Tools (Tableau | Power BI), Cloud Computing (AWS - S3 Buckets | Redshift ), running Python scripts using DockerImage, MySQL, Dbeaver, Apache Spark, Kafka and GitHub repository. I have knowledge of popular Python libraries, including Pandas, NumPy, Seaborn,Plotly, Sklearn, and experience in machine learning projects using various algorithms such as Decision Tree, Linear Regression, Classification model. These experiences have equipped me with the technical skills and proficiency needed to excel in the field of data analysis.

My journey into data analysis began during my time as an HR professional, where I spearheaded various data-driven analysis, generating reports and metrics related to HR attrition rates, employee satisfaction, and employee performance measurement. I also delved into predictive analysis to provide valuable insights for strategic decision-making.

My SQL
Python
PowerBI
Tableau
Machine Learning/AI
Pycharm
Jupyter Notebook



Data Analysis ,Collection & Manipulation
Data Cleaning
Data Visualization
Data Transformation
ETL pipeline
Cloud Database AWS
Reports & Dashboards
Web Scrapy
Google Earth Engine
Google Data Studio
Human Resource Professional
HR payroll administration
HRIS Management