Data Analyst
Helping Businesses
Turn Data Into Growth.

Worked on NGO data analysis under the Amdad project. Collected and cleaned large datasets, stored data in PostgreSQL, and created reports to highlight key insights. Collaborated with teams to refine data collection methods and ensure data accuracy.

Collaborated with clients from various industries to collect, clean, and analyze business data. Delivered insightful reports and Power BI dashboards focused on sales trends, customer behavior, and performance metrics. Provided data-driven recommendations that helped clients improve decision-making and business outcomes.

Developed multiple end-to-end data analysis projects showcasing skills in data cleaning, visualization, and business insight generation. Worked with real-world and API-based datasets covering retail, sales, and e-commerce domains. Created interactive Power BI dashboards and detailed reports to demonstrate analytical thinking and storytelling with data.

Completed a comprehensive 12-course program covering Python, SQL, Data Analysis, Data Visualization, and Machine Learning. Gained hands-on experience in applying data science techniques to real-world business problems.

Completed a government-supported training focused on applying AI and Data Science to solve practical business and real-world problems. Gained hands-on experience with Python, data preprocessing, model development, and performance evaluation. Learned key concepts of machine learning, artificial intelligence, and data visualization to extract insights and make data-driven decisions.

Learned to clean, organize, and analyze business data using Excel, Power Query, and Power Pivot. Gained practical experience in building interactive dashboards and reports in Power BI to visualize KPIs, track performance, and support data-driven decision-making.