
To secure a challenging position as a Data Analyst where I can apply my skills in SQL, Python, Data Visualization, and Statistical Analysis to provide actionable insights and support business decision-making. I aim to contribute effectively to organizational growth by combining my analytical mindset with hands-on experience in analytics, backend, and cloud technologies.
Programming Languages: SQL, Python
Data Analysis Tools: Excel (Advanced), Pandas, NumPy
Visualization Tools: Power BI, Tableau, Matplotlib, Seaborn
Databases: MySQL, PostgreSQL
Data Processing: ETL Concepts
Statistics: Descriptive Statistics, Hypothesis Testing
Version Control: Git, GitHub/GitLab
Cloud / Data Services: AWS, Azure (Basics)
Other Essentials: Data Cleaning, Data Wrangling, Agile/Scrum
Problem Solving & Logical Thinking
Analytical Mindset
Communication & Collaboration
Attention to Detail
Time Management
Adaptability to New Tools