Data Analyst specializing in Python-based data cleaning and insights
I am a Computer Science undergraduate with hands-on experience in data cleaning, analysis, and visualization using Python. I help clients work with raw, unstructured data and convert it into clean, well-organized datasets that are ready for analysis and reporting.
My work includes handling missing values, removing duplicates, formatting data, performing exploratory data analysis (EDA), and creating simple visualizations to highlight trends and insights. I work with CSV and Excel datasets and use Python libraries such as Pandas, NumPy, and Matplotlib to ensure accurate and efficient results.
I focus on clear communication, timely delivery, and practical outputs that clients can easily understand and use. This service is suitable for business data, academic projects, research datasets, and general data analysis needs. I am committed to delivering quality work and building long-term professional relationships.
Work Terms
• Availability: Flexible hours with timely responses
• Communication: Clear and regular updates through the platform
• Payment: Prefer fixed-price tasks based on estimated hours
• Workflow: Requirement discussion → data review → analysis → delivery
• Revisions: Minor revisions included if requested within scope